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Endemism Patterns Of Leaf Beetles (Coleoptera: Chrysomelidae) In Türkiye, İsmai̇l Şen, Ali̇ Gök May 2026

Endemism Patterns Of Leaf Beetles (Coleoptera: Chrysomelidae) In Türkiye, İsmai̇l Şen, Ali̇ Gök

Turkish Journal of Zoology

In this study, the distribution of endemic leaf beetles in Türkiye was analyzed  holistically at the provincial scale using species richness (ENR), corrected weighted  endemism (CWE), and range-restricted endemism (RRE) indices. A total of 95  endemic taxa were found in Türkiye and these taxa exhibited significant spatial  heterogeneity in terms of richness and extent of distribution. The Western and  Central Taurus Mountains and the Eastern Black Sea Region were found to be the  main centers of endemism, with high densities of narrowly distributed and  geographically restricted species. These patterns clearly demonstrate that key  biogeographic factors, such as steep elevation gradients, …


Dynamics Of Ant Activity Under Extreme Climatic Changes In 2024: Effects Of Temperature  And Humidity On Formica Rufa And Lasius Fuliginosus Behavior, Stanislav Stukalyuk, Mykola Kozyr, Vira Balabukh May 2026

Dynamics Of Ant Activity Under Extreme Climatic Changes In 2024: Effects Of Temperature  And Humidity On Formica Rufa And Lasius Fuliginosus Behavior, Stanislav Stukalyuk, Mykola Kozyr, Vira Balabukh

Turkish Journal of Zoology

Global warming and extreme heatwaves, which can alter species distribution and ecosystem dynamics, have profound effects on forest ants. T‍his study investigated the impact of summer and autumn 2024 heatwaves on the activity, prey transport, and nest-building of Formica rufa Linnaeus, 1761 and Lasius fuliginosus (Latreille, 1798) in deciduous forests of Kyiv, Ukraine. Fieldwork was conducted from June to September 2024 in Holosiyivo Forest and the Feofaniya tract. Ant colonies were assigned to experimental plots, where logs were placed along foraging trails, or to control plots with unmanipulated ground-floor trails. The study included 10 F. rufa anthills for activity monitoring …


The Effect Of Spatial Scale Of Habitat On Abundance Of Roe Deer (Capreolus Pygargus) And Water Deer (Hydropotes Inermis Argyropus) During Summer In South Korea, Naeyoung Kim, Hyejin Kim, Hyoun-Gi Cha, Hyun-Su Hwang May 2026

The Effect Of Spatial Scale Of Habitat On Abundance Of Roe Deer (Capreolus Pygargus) And Water Deer (Hydropotes Inermis Argyropus) During Summer In South Korea, Naeyoung Kim, Hyejin Kim, Hyoun-Gi Cha, Hyun-Su Hwang

Turkish Journal of Zoology

Understanding species-specific habitat preferences provides essential ecological  information about interactions among habitat components. In South Korea, roe deer  (Capreolus pygargus) and water deer (Hydropotes inermis argyropus) are the  dominant large herbivorous mammals of the family Cervidae. The increasing populations of these species have led to ecological and economic  challenges. Therefore, we investigated the effects of spatial scale characteristics on  the habitat preferences of roe deer and water deer. From June to August each year  between 2021 and 2023, we calculated the relative abundance index (RAI) using  camera-trap data and analyzed patch characteristics in the study area using remote  sensing techniques, …


University Of Dayton Awarded Nearly $1.36 Million Choose Ohio First Scholarships, University Of Dayton May 2026

University Of Dayton Awarded Nearly $1.36 Million Choose Ohio First Scholarships, University Of Dayton

News Releases

The Choose Ohio First program awarded the University of Dayton scholarships to recruit and graduate students in science, technology, engineering and math (STEM) fields.


Hyperspectral Image Classification Using Novel 1-D And 2-D Deep Neural Networks, Özlem Polat, Zümray Dokur, Tamer Ölmez May 2026

Hyperspectral Image Classification Using Novel 1-D And 2-D Deep Neural Networks, Özlem Polat, Zümray Dokur, Tamer Ölmez

Turkish Journal of Earth Sciences

Hyperspectral image (HSI) classification is of critical importance in many fields including agriculture, geology, environmental monitoring, and urban planning. In recent years, many researchers have utilized deep neural networks (DNNs), known for their high performance in the classification of HSIs. When 2-D/3-D convolutional neural networks are used in HSI classification, filters are applied using input patches typically larger than 11 × 11. This allows spectral and spatial features to be evaluated together. However, this combination creates several problems. Because HSIs have low spatial resolution, they often do not contain strong texture details. Furthermore, features with little relevance to classification make …


Formation Mechanism Of High-Quality Reservoirs In The Shanxi Formation Of The Qingyang Gas Field In A Meandering River Delta Setting, Xingming Duan, Shu Liu, Meng Wang, Yecan Fan, Xiyu Wang, Xinan Yu, Zubing Li May 2026

Formation Mechanism Of High-Quality Reservoirs In The Shanxi Formation Of The Qingyang Gas Field In A Meandering River Delta Setting, Xingming Duan, Shu Liu, Meng Wang, Yecan Fan, Xiyu Wang, Xinan Yu, Zubing Li

Turkish Journal of Earth Sciences

As global energy demand rises, unconventional gas resources, particularly tight gas reservoirs, have become increasingly important for future energy supply. Located in the southwestern Ordos Basin, the Qingyang gas field is a newly discovered deep tightgas field with proven geological reserves exceeding 31.8 × 109 m3 and has become a strategic focus for deep-gas exploration in China. Despite rapid appraisal that delineated several stable gas-bearing zones, a comprehensive understanding of the sedimentary architecture, diagenetic transformation, and enrichment mechanisms of high-quality reservoirs in the Permian Shanxi Formation remains incomplete. Focusing on the Shan 1 Member (hereafter referred to as Shan 1), …


A Shallow Landslide Hazard Assessment Using A Probabilistic Approach: An Example From Northeastern Türkiye (Beşikdüzü, Trabzon), Kübra Tezel, Aykut Akgün May 2026

A Shallow Landslide Hazard Assessment Using A Probabilistic Approach: An Example From Northeastern Türkiye (Beşikdüzü, Trabzon), Kübra Tezel, Aykut Akgün

Turkish Journal of Earth Sciences

The objective of this study was to identify and assess shallow landslide hazard in both spatial and temporal terms within the boundaries of Beşikdüzü District in northeastern Türkiye. The workflow was initiated with the development of a detailed multitemporal mass‑movement inventory map derived from satellite imagery provided on the Google Earth platform,1 covering the period between 2000 and 2018. Inventory mapping was complemented by extensive field verification campaigns to identify discrepancies, confirm spatial accuracy, and document additional morphological details that could not be detected from imagery alone. A 10-m spatial resolution digital elevation model (DEM) was generated from 1:25,000-scale digital …


The Regionalization Of The North American Auto Industry: A Comparative Analysis Of Automotive And White Goods Trade Under Nafta And The Usmca, 1990-2024, Helen Alexandra Helfgott May 2026

The Regionalization Of The North American Auto Industry: A Comparative Analysis Of Automotive And White Goods Trade Under Nafta And The Usmca, 1990-2024, Helen Alexandra Helfgott

Master in Public Policy Theses

This research examines whether the auto-specific provisions introduced under the North American Free Trade Agreement (NAFTA) and the US-Mexico-Canada Agreement (USMCA) have had a measurable regionalizing effect on North American export flows. The USMCA's auto-specific provisions, established in the rules of origin requirements (ROOs), increase regional value content requirements (RVC) while imposing new requirements for labor value content (LVC), steel and aluminum sourcing, and core parts. This research assesses whether these provisions are associated with a distinctive pattern of intra-regional export concentration not present in other sectors.

The study employs a descriptive comparative framework using data from UN Comtrade, spanning …


Applicability Of Machine Learning For Shear-Wave Velocity Prediction From Conventional Well Logs: The Lsboost Approach, Rahmat Catur Wibowo, Fadsyah Muhammad Arby, Bagus Sapto Mulyatno, Ordas Dewanto, Isti Nur Kumalasari, Muh Sarkowi May 2026

Applicability Of Machine Learning For Shear-Wave Velocity Prediction From Conventional Well Logs: The Lsboost Approach, Rahmat Catur Wibowo, Fadsyah Muhammad Arby, Bagus Sapto Mulyatno, Ordas Dewanto, Isti Nur Kumalasari, Muh Sarkowi

Turkish Journal of Earth Sciences

Shear-wave velocity (Vs) is one of the most critical parameters for determining geomechanical properties and basin overpressure. However, assessing Vs via techniques like core analysis requires considerable effort and expense. This study predicts Vs using several approaches and compares the accuracy levels of all models. For this objective, the multiple linear regression, multiple linear stepwise regression, support vector machine, and least-squares boost (LSBoost) methodologies were selected. The six well-logging data inputs of density (RHOB), gamma-ray (GR), deep resistivity (ILD), acoustic wave velocity (Vp), shale volume (VCL), and water saturation (SW) were selected as effective variables, whereas Vs was regarded as …


Geoelectrical Signatures Of The Giant Karaburun Pelitic-Mafic-Type Volcanogenic Massive Sulfide Mineralization In The Central Pontides (Türkiye), Kurtuluş Günay, Türker Yas, Buğra Çavdar, Ertan Pekşen May 2026

Geoelectrical Signatures Of The Giant Karaburun Pelitic-Mafic-Type Volcanogenic Massive Sulfide Mineralization In The Central Pontides (Türkiye), Kurtuluş Günay, Türker Yas, Buğra Çavdar, Ertan Pekşen

Turkish Journal of Earth Sciences

The Karaburun deposit, hosted in greenschist facies metamorphic rocks, is a newly discovered giant volcanogenic massive sulfide (VMS) deposit in Anatolia and provides an exceptional natural laboratory for geophysical monitoring. The main ore body is less affected by metamorphism than the surrounding wall-rocks, where metamorphic and metasomatic processes formed pyritemagnetite- sericite-quartz assemblages that significantly influence geoelectrical properties. In this study, the geometry and extent of mineralization within geologically defined target zones were investigated using direct current resistivity and two-dimensional timedomain induced polarization (2D-TDIP) methods and the results were compared with the geology. A pole–dipole electrode array was employed in the …


Electoral Threshold: Pros-Cons And Political Party Consensus In Indonesia, Azka Abdi Amrurobbi, Donis Daviska, Alam Mahadika May 2026

Electoral Threshold: Pros-Cons And Political Party Consensus In Indonesia, Azka Abdi Amrurobbi, Donis Daviska, Alam Mahadika

Jurnal Wacana Politik

The debates surrounding the parliamentary threshold and presidential threshold have become a recurring phenomenon, particularly in the period leading up to general elections in Indonesia. This paper aims to examine the pros and cons of the implementation and determination processes of both thresholds. Employing a qualitative research method and library research as the primary data collection technique, to validate the data then this research used data triangulation technique. In the Indonesian context, the thresholds applied constitute a form of formal threshold, namely thresholds determined through political and legislative processes in parliament. Consequently, threshold policies are heavily influenced by the configuration …


Techno-Economic Assessment And Life Cycle Analysis Of Electrocatalytic Reduction Of Co2 To Ethanol., Omotolani Elizabeth Oduyebo May 2026

Techno-Economic Assessment And Life Cycle Analysis Of Electrocatalytic Reduction Of Co2 To Ethanol., Omotolani Elizabeth Oduyebo

LSU Master's Theses

This study presents a techno-economic analysis (TEA) and life cycle assessment (LCA) of the electrocatalytic reduction of CO₂ to ethanol, a multi-carbon (C2) product with significant market value. Prior TEA studies have relied on simplified lump-sum separation cost estimates, and prior LCA studies have rarely examined the combined effect of CO₂ source and electricity supply on carbon intensity gaps that this work addresses through process-simulation-grounded analysis. An Aspen Plus process simulation was developed for an anion-exchange membrane (AEM) electrolyzer system coupled with an extractive distillation separation train using ethylene glycol as the entrainer, achieving 99.9 wt.% ethanol purity …


Beyond Pedagogical Inertia: Understanding And Overcoming The Barriers To Effective Faculty Work In Higher Education, Yoshihiko Ariizumi May 2026

Beyond Pedagogical Inertia: Understanding And Overcoming The Barriers To Effective Faculty Work In Higher Education, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

Academic faculty are among the most educated professionals in the world. Yet a striking body of empirical research demonstrates that they face profound, systematic barriers to performing their own work effectively—barriers that are cognitive, institutional, cultural, and structural in origin. This paper extends the analysis of “pedagogical inertia” beyond the classroom to the full scope of faculty professional life: research, writing, service, advising, and self-directed learning. Drawing on evidence from organizational psychology, cognitive neuroscience, higher education research, and behavioral science, we identify six classes of barriers that consistently impede effective faculty work, and we analyze—with reference to documented successful cases—the …


A Systematic Literature Review On Data-Efficient And Adaptive Learning Techniques For Encrypted Traffic Classification Under Modern Protocols, Muntakimur Rahaman, Azwan Mahmud, Azlan Abd Aziz, Osama M. S. Abujawa, Ji-Jian Chin May 2026

A Systematic Literature Review On Data-Efficient And Adaptive Learning Techniques For Encrypted Traffic Classification Under Modern Protocols, Muntakimur Rahaman, Azwan Mahmud, Azlan Abd Aziz, Osama M. S. Abujawa, Ji-Jian Chin

School of Engineering, Computing and Mathematics

Recent studies suggest that few-shot and zero-shot learning methods, drawing on meta-learning, self-supervised approaches and metric-learning ideas, can classify encrypted traffic (TLS 1.3 and QUIC) with competitive accuracy across different protocol conditions. This systematic literature review (SLR) investigates 22 studies selected from an initial pool of 500 papers using PRISMA 2020, focusing on current methodologies for non-stationary network traffic classification, with particular attention to few-shot, zero-shot, and meta-learning approaches. The research addresses four questions: (1) Which approaches have been employed for non-stationary network traffic classification and threat detection? (2) How do hybrid or cross-domain models improve adaptation, detection and overall …


Responsible Ai Practices In Engineering Programming, Mohamed Elfaham May 2026

Responsible Ai Practices In Engineering Programming, Mohamed Elfaham

AI Assignment Library

This project demonstrates how responsible AI tools can be integrated into engineering programming assignments to support learning, debugging, verification, and critical evaluation while maintaining student accountability and independent problem-solving skills.


The Echo: May 18, 2026, Taylor University May 2026

The Echo: May 18, 2026, Taylor University

2025-2026 (Volume 113)

No abstract provided.


The Impact Of Tgfβ Conditioning And Socs3 Expression On Cytokine Signal Transduction And Inflammatory Gene Expression In Fibroblasts, Morgan Anderson-Crannage May 2026

The Impact Of Tgfβ Conditioning And Socs3 Expression On Cytokine Signal Transduction And Inflammatory Gene Expression In Fibroblasts, Morgan Anderson-Crannage

NYMC Student Theses and Dissertations

Inflammation is a major driver in many aspects of recessive dystrophic epidermolysis bullosa (RDEB) pathology, including impaired wound healing, fibrosis, and potentially cutaneous squamous cell carcinoma development. Fibroblasts, as key stromal cells in the dermis, are responsible for orchestrating inflammatory responses through the secretion of cytokines and chemokines upon stimulation with IL-1α or IL-6. Suppressor of Cytokine Signaling 3 (SOCS3) functions as a negative feedback regulator of cytokine signaling and has emerged as a key modulator of inflammatory responses in immune cells and fibroblasts. Transforming Growth Factor Beta (TGFβ), a known driver of fibrosis in RDEB, has been implicated in …


Uneven Ranks: Geographic Deepening Of The All-Volunteer Force, Christine Hogestyn May 2026

Uneven Ranks: Geographic Deepening Of The All-Volunteer Force, Christine Hogestyn

Master in Public Policy Theses

Who is enlisting in Fiscal Year 2025, and what state-level characteristics are associated with military enlistment rates, service selection, and recruit quality? This study documents the geographic landscape of U.S. military accessions during a period of recruiting recovery, filling a gap in the literature by providing a current, empirical description of who enlists and from where in today’s All-Volunteer Force. Drawing on personnel data from the Department of War, the U.S. Census and Bureau of Labor Statistics estimates, and a federal dataset of military installations, I analyze 203,987 new accessions across the Army, Navy, Air Force, and Marine Corps from …


The Digital Rentier State: Saudi Arabia, George Ngoh May 2026

The Digital Rentier State: Saudi Arabia, George Ngoh

Master in Public Policy Theses

As artificial intelligence reshapes Great Power Competition, control over digital infrastructure has become a key measure of global hegemony. In this context, Saudi Arabia is using its Vision 2030 strategy to pivot from traditional hydrocarbon reliance toward diversification into the AI and emerging technology sector, seeking to secure a position of power in an increasingly multipolar world.

This thesis analyzes whether Saudi Arabia’s AI investments signal a transition away from traditional resource rentierism or the creation of a new digital rentier model. Through primary and secondary research, this study argues that the Kingdom is establishing a sustainable pathway toward a …


Design And Analysis Of Hydrogen Fuel Cell Powered Aircraft Using Wuads Design Code, Baiming Zhang, Duyen Nguyen, Mike Kiely, Ramesh Agarwal May 2026

Design And Analysis Of Hydrogen Fuel Cell Powered Aircraft Using Wuads Design Code, Baiming Zhang, Duyen Nguyen, Mike Kiely, Ramesh Agarwal

Mechanical Engineering and Materials Science Independent Study

This report presents the application and validation of the Washington University Aircraft Design Software (WUADS) using the Dornier 228 as a representative short- to mediumrange aircraft case study. The objective of this work is to improve the reliability of the WUADS model by testing its ability to reproduce the geometry, weight, aerodynamic performance, stability characteristics, and mission behavior of an existing aircraft with known design and performance data. The Dornier 228 was selected because of its regional aircraft configuration and its relevance to future hydrogen fuel-cell aircraft studies. In this work, key aircraft parameters, including fuselage dimensions, wing geometry, passenger …


Dna Strand Breaks By Small Molecules: From Genomic Hazard To Therapeutic Strategy, Clerin John May 2026

Dna Strand Breaks By Small Molecules: From Genomic Hazard To Therapeutic Strategy, Clerin John

Honors Scholar Theses

DNA strand breaks are among the most critical forms of genomic damage, arising from endogenous metabolic activity, environmental stress, radiation, and diverse chemical agents. Single-strand breaks and double-strand breaks contribute to genome instability, mutagenesis, carcinogenesis, and neurodegenerative disorders. Cells rely on DNA repair pathways to detect these breaks and initiate repair. In this review, we conducted a comprehensive literature review to systematically compile and examine the mechanisms underlying small-molecule-induced DNA strand breaks. This review highlights the underlying mechanisms by which these molecules interact with DNA and trigger damage. We further discussed the current methods used for detection and quantification of …


Design And Implementation Of Error Estimators For Finite Element Eigenvalue Problems, Gabriel Esteban Pinochet Soto May 2026

Design And Implementation Of Error Estimators For Finite Element Eigenvalue Problems, Gabriel Esteban Pinochet Soto

Dissertations and Theses

We present three publications, all encompassed under the umbrella of a posteriori error estimation theory for eigenvalue problems for finite element discretizations. The central objective of the research is the development of a general framework for the study of reliable estimation of eigenvalues and eigenspaces. We introduce applications to problems of theoretical interest as well as problems arising in real-life scenarios, such as optical fibers. The first paper focuses on the implementation of a dual-weighted residual error estimator for a nonselfadjoint eigenvalue problems arising from the study of leaky modes in optical fibers---Maxwell's equations, Perfectly Matched Layers, and a conforming …


Eruptive Flux Drives Atmospheric Lightning Rates And Submarine Hydroacoustic Signals During The 2021 Fukutoku-Oka-No-Ba Eruption, Kathleen F. Mckee, Kristen E. Fauria, Jackie Caplan-Auerbach, Jelle D. Assink, Mikkel Louis, Tushar Mittal, Fukashi Maeno, Mie Ichihara, Dirk Metz, Chris Vagasky May 2026

Eruptive Flux Drives Atmospheric Lightning Rates And Submarine Hydroacoustic Signals During The 2021 Fukutoku-Oka-No-Ba Eruption, Kathleen F. Mckee, Kristen E. Fauria, Jackie Caplan-Auerbach, Jelle D. Assink, Mikkel Louis, Tushar Mittal, Fukashi Maeno, Mie Ichihara, Dirk Metz, Chris Vagasky

Michigan Tech Publications

The August 2021 eruption of Fukutoku-Oka-no-Ba (FOB) volcano in Japan was a remarkable VEI 4 shallow submarine eruption, partly because it generated a 16-km water-rich atmospheric plume, new islands, and a large pumice raft. Recent studies provide complementary summaries of the atmospheric and oceanic surface expressions of the 2021 FOB eruption, including analyses of regional infrasound and Himawari-8 geostationary satellite data. The hydroacoustic record has also been published. Following these studies, we examine how the processes occurring beneath the sea surface correlate with the intensity of the atmospheric portion of the 2021 FOB eruption. We compare multiple data sets, specifically …


Pfas Toxicity: What’S True, What’S Not, And What Really Matters, Jamie C. Dewitt, Ian T. Cousins, Gretta Goldenman, Dorte Herzke, Rainer Lohmann, Mark Miller, Carla A. Ng, Martin Scheringer, Xenia Trier, Zhanyun Wang May 2026

Pfas Toxicity: What’S True, What’S Not, And What Really Matters, Jamie C. Dewitt, Ian T. Cousins, Gretta Goldenman, Dorte Herzke, Rainer Lohmann, Mark Miller, Carla A. Ng, Martin Scheringer, Xenia Trier, Zhanyun Wang

Graduate School of Oceanography Faculty Publications

A substantial body of evidence exists demonstrating that exposure to per- and polyfluoroalkyl substances (PFASs) poses a risk to human health. Data from epidemiological studies of those exposed occupationally or environmentally demonstrate adverse health risks, and these health effects are concordant with data from toxicological studies. Systematic reviews, conducted by agencies, organizations, and independent scientists that synthesize and integrate these data streams, have concluded that a range of health risks arise from PFAS exposure, including different types of cancer, especially kidney and testicular cancer, metabolic alterations such as increased liver enzymes and increased cholesterol, immune dysfunction such as reduced vaccination …


Optimization And Energy Efficiency Analysis Of An Automatic Feed Mixer With A Rotating Drum Mechanism, Kris Witono, Talifatim Machfuroh, Nurlia Pramita Sari, Lisa Agustriyana, Aini Lostari May 2026

Optimization And Energy Efficiency Analysis Of An Automatic Feed Mixer With A Rotating Drum Mechanism, Kris Witono, Talifatim Machfuroh, Nurlia Pramita Sari, Lisa Agustriyana, Aini Lostari

Journal of Mechanical Engineering Science and Technology (JMEST)

Energy-efficient feed mixer machines are important for improving the productivity and sustainability of small and medium-scale livestock farms. Previous studies primarily focused on either structural performance or mixing efficiency, with limited studies integrating both aspects. Therefore, this study evaluated an automatic rotating-drum feed mixer by combining Finite Element Method (FEM) analysis and energy modeling. The study used FEM simulations for different materials, namely A36 steel alloy, stainless steel 304, aluminium 6061, and galvanized steel, with thicknesses of 3 mm and 4 mm, as well as different drum systems. The FEM results showed that all evaluated materials met the minimum safety …


Depth-Dependent Suppression Of Bipolar Degradation In 4h-Sic Diodes Via Proton Implantation And Evaluation Of Safe Operating Current Density Range, Atsushi Shimbori, Ryota Wada, Nobuhiro Tokoro, Takashi Kuroi, Hiu Yung Wong, Alex Q. Huang May 2026

Depth-Dependent Suppression Of Bipolar Degradation In 4h-Sic Diodes Via Proton Implantation And Evaluation Of Safe Operating Current Density Range, Atsushi Shimbori, Ryota Wada, Nobuhiro Tokoro, Takashi Kuroi, Hiu Yung Wong, Alex Q. Huang

Faculty Research, Scholarly, and Creative Activity

This work explores the role of implantation depth in suppressing bipolar degradation of 4H-SiC PiN diodes through proton implantation. Targeting depths aligned with active basal plane dislocations (BPDs) effectively reduces stacking-fault expansion, as confirmed by electroluminescence imaging [1,2]. From these observations, we quantified the effective range of suppression in both depth and safe operating current density. Room-temperature proton implantation (170keV, 1×1016 cm-2) into the buffer reduced forward-voltage drift ΔVF by 97% at 600A/cm2 . The implanted diode extended the safe operating current range to 1300A/cm2, ~200A/cm2 higher than the reference, confirming effective suppression …


Assessment Of The Bioremediation Potentials Of Biosurfactant-Producing Bacterial Strains Recovered From Spent Engine Oil-Contaminated Environments In Southwest Nigeria, Nafisa Mohammed Babayola, Nasiru Bright Lecky, Chinweizu Obioma Onumaegbu, Olufunmiso Olusola Olajuyigbe, Martins Ajibade Adefisoye May 2026

Assessment Of The Bioremediation Potentials Of Biosurfactant-Producing Bacterial Strains Recovered From Spent Engine Oil-Contaminated Environments In Southwest Nigeria, Nafisa Mohammed Babayola, Nasiru Bright Lecky, Chinweizu Obioma Onumaegbu, Olufunmiso Olusola Olajuyigbe, Martins Ajibade Adefisoye

Journal of Environmental Science and Sustainable Development

Environmental pollution from hydrocarbons and their derivatives is predominantly of anthropogenic origin, occurring mainly during mining, transportation, and storage. This often in an annual release of substantial amounts of pollutants into the environment. The effective restoration of petroleum-contaminated environments requires a series of interventions to remediate soil to its natural state. This study aimed to isolate and characterize biosurfactant-producing bacterial strains with potential bioremediation capabilities to assess the potential application for remediating soils polluted with spent engine oil in the Remo district, Ogun State. Bacterial isolates were recovered from soil samples collected from spent engine oil contaminated sites, using standard …


Unquaint Pigs’ Stakeholder Perspectives On Wild Swine In Central Western Florida, Tyler Koerner May 2026

Unquaint Pigs’ Stakeholder Perspectives On Wild Swine In Central Western Florida, Tyler Koerner

USF Tampa Graduate Theses and Dissertations

The Anthropocene presents important questions for how to address the continuous transferal of new species into new spaces and the cascading impacts of environmental transformations. Novel ecosystems present one such outline for conservation that acknowledges the modification of historic ecosystems and the social entanglements that arrive with new species. I argue that novel ecosystems can benefit from further anthropological integrations that aid in describing the entanglements of introduced species and the pursuit of best managerial outcomes. For wild swine in Florida, the adoption of a novel approach is especially relevant because of entanglements with historic and modern Floridian stakeholders and …


The Heterogeneous Response Of Astrocytes In Different Brain Regions Under Metabolic Stress, Pawan Kumar Thapaliya May 2026

The Heterogeneous Response Of Astrocytes In Different Brain Regions Under Metabolic Stress, Pawan Kumar Thapaliya

USF Tampa Graduate Theses and Dissertations

Astrocytes play a central role in maintaining ionic homeostasis, neurotransmitter clearance, and brain en-ergy metabolism. Their excitability, reflected in activity-evoked intracellular sodium (Na+, [Na+]i) and calcium (Ca2+,[Ca+]i) dynamics, is increasingly recognized as a critical determinant of neuronal function and vulnerability, particularly under metabolic stress. Despite their importance, the mechanisms underlying astrocytic ionic signaling and its regional heterogeneity remain incompletely understood. In this thesis, I developed detailed computational and biophysical models to investigate astrocytic Na+ and Ca2+ dynamics, their bioenergetic consequences, and the roles of key ion transporters under physiological and metabolically stressed conditions, validating the models against experi- mental data. …


Biodegradable Pcl–Plga Electrospun Nanofibers For Localized Cancer Therapy, Rahul Tiwari, Pranav, Joel Delossantos, Eswara N.H.K. Ghali, Luis Chavez, Vishal Sharad Chaudhari, Songyang Han, Subhash Chauhan, Murali Yallapu May 2026

Biodegradable Pcl–Plga Electrospun Nanofibers For Localized Cancer Therapy, Rahul Tiwari, Pranav, Joel Delossantos, Eswara N.H.K. Ghali, Luis Chavez, Vishal Sharad Chaudhari, Songyang Han, Subhash Chauhan, Murali Yallapu

School of Medicine Publications

Localized chemotherapy offers a promising strategy to improve therapeutic efficacy while minimizing the systemic toxicity of conventional cancer treatment, particularly following tumor resection. Electrospun nanofibers are well suited for this purpose due to their high porosity, extracellular matrix-mimicking architecture, and capacity for localized drug release. In this study, electrospun nanofibers based on PCL and PLGA were developed for localized cancer therapy. Three distinct nanofibrous architectures were fabricated: PCL nanofibers, PCL−PLGA blended nanofibers, and PCL−PLGA multilayered (tetra-layered) nanofibers, and their encapsulation efficiency was determined by high-performance liquid chromatography (HPLC). Scanning electron microscopy confirmed uniform, bead-free nanofibrous morphologies, while Fourier transform infrared …