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Cannabinoid-2 Receptor Activation Attenuates Sulfur Mustard Analog 2-Chloroethyl-Ethyl-Sulfide-Induced Acute Lung Injury In Mice, Gregory Nicholson, Nicholas Richards, Janette Lockett, My Boi Ly, Raj V. Nair, Woong-Ki Kim, K. Yaragudri Vinod, Nagaraja Nagre

Department of Biomedical and Translational Sciences Faculty Publications

Background: Exposure to sulfur mustard (SM; 2,2′-dichlorodiethyl sulfide) causes toxicity in the human body, particularly the lungs. The molecular mechanisms of SM-induced lung damage are elusive, and no effective treatments exist. This study explores the anti-inflammatory potential of cannabinoid receptor 2 (CB2R) activation in mitigating acute lung injury (ALI) and inflammation induced by 2-chloroethyl ethyl sulfide (CEES), a structural analog of SM. Methods: C57BL/6J mice were exposed to CEES via intratracheal administration to model ALI. CB2R activation was achieved through the intraperitoneal administration of HU308, a selective synthetic agonist. ALI and inflammation were evaluated at 48 h post-exposure to CEES. …

Cellular And Molecular Mechanisms Of Lung Regeneration, Repair, And Fibrosis, Volume Ii, Yong Qiu, Xiao Xiao Tang, Shigeyuki Shichino, Prem Prakash Kushwaha, Yan Y. Sanders, Remo Castro Russo, Chunheng Mo

Department of Biomedical and Translational Sciences Faculty Publications

[Introduction] Organ fibrosis represents a substantial a major contributor to global disease burden, implicated in over 30% of cases leading to disability-associated and fatal conditions. Among these conditions, idiopathic pulmonary fibrosis (IPF) stands as a progressive and frequently fatal interstitial lung disease characterized by aberrant extracellular matrix deposition and parenchymal scarring. The prognosis for IPF patients is poor, with a median survival time of just 3–5 years (Bhattacharya and Ramachandran, 2023; Lederer and Martinez, 2018, Ma et al., 2024, Wei et al., 2024). Current FDA-approved therapeutics, Pirfenidone and Nintedanib, demonstrate capacity to attenuate functional decline in pulmonary fibrosis but remain …

Codon Composition In Human Oocyters Reveals Age-Associated Defects In Mrna Decay, Pavla Brachova, Lane K. Christenson, Nehemiah S. Alvarez

Department of Biomedical and Translational Sciences Faculty Publications

Oocytes from women of advanced reproductive age exhibit diminished developmental potential, but the underlying mechanisms remain incompletely defined. Oocyte maturation depends on translational control of maternal mRNA synthesized during growth. We performed a computational analysis on human oocytes from women < 30 versus ≥40 years and observed that mRNA GC content correlates negatively with half-life in oocytes from young (< 30 yr) but positively with oocytes from aged (>40 yr) women. In young oocytes, longer mRNA half-life is associated with lower protein abundance, whereas in aged oocytes GC content correlates positively with protein abundance. During the GV-to-MII transition, codon composition stratifies stability: codons that support rapid translation (optimal) stabilize mRNA, while slow-translating codons (non-optimal) promote decay. With reproductive aging, GC-containing codons become more optimal and align with increased …

Swinging Lever Mechanism Of Myosin Directly Shown By Time-Resolved Cryo-Em, David P. Klebl, Sean N. Mcmillan, Cristina Risi, Eva Forgacs, Betty Virok, Jennifer L. Atherton, Sarah A. Harris, Michele Stofella, Donald A. Winkelmann, Frank Sobott, Vitold E. Galkin, Peter J. Knight, Stephen P. Muench, Charlotte A. Scarfi, Howard D. White

Department of Biomedical and Translational Sciences Faculty Publications

Myosins produce force and movement in cells through interactions with F-actin¹. Generation of movement is thought to arise through actin-catalysed conversion of myosin from an ATP-generated primed (pre-powerstroke) state to a post-powerstroke state, accompanied by myosin lever swing²,³. However, the initial, primed actomyosin state has never been observed, and the mechanism by which actin catalyses myosin ATPase activity is unclear. Here, to address these issues, we performed time-resolved cryogenic electron microscopy (cryo-EM)⁴ of a myosin-5 mutant having slow hydrolysis product release⁵,⁶. Primed actomyosin was predominantly captured 10 ms after …

Reduced Slow Wave Sleep Is Associated With Increased Risk Of Short Stature In Children: A Cross-Sectional Study, Zhaohua Chen, Yuan Shi, Fei Lei, Xujun Feng, Lu Tan, Taomei Li, Junying Zhou, Yuanfeng Sun, Jiamin Liao, Yun Li, Zhoulong Yu, Jian Jiao, Yanyan Wang, Larry D. Sanford, Michael V. Vitiello, Ye Zhang, Rong Ren, Xiangdong Tang

Department of Biomedical and Translational Sciences Faculty Publications

Objective: Although growth hormone was shown to be specifically released during slow wave sleep (SWS), no population-based evidence has demonstrated the association between sleep quality and childhood height. To address this gap, our study aims to investigate the relationship between SWS and height of children.

Methods: We analyzed polysomnography data and z-scores for height in 2527 suspected obstructive sleep apnea (OSA) children (537 non-OSA children and 1990 OSA children) collected over the past 16 years. Different grades of z-scores for height and SWS were classified by the quartile method, and the lowest z-scores for height quartile defined short stature as …

Phenotype Specific Nuclear Lamina Remodeling In Hipsc Derived Cardiomyocytes Bearing Tnnt2 Sarcomeric Variants, Isabella Leite Coscarella, Olalekan H. Usman, Lili Wang, Maicon Landim-Vieira, Lillian Wirstiuk, Amber N. Brown, Diego A. R. Zorio, Brian K. Washburn, Cynthia Vied, Bjorn C. Knollmann, Christopher Solís, Vitold E. Galkin, P. Bryant Chase, J. Travis Hinson, Jerome Irianto, Jose Renato Pinto

Department of Biomedical and Translational Sciences Faculty Publications

[Summary] Cardiomyocytes endure physical stress from the myocardium environment while generating their own mechanical strains. The force generated by sarcomeres is transmitted both longitudinally to adjacent sarcomeres and laterally to the cytoskeleton via intermediate filaments. This mechanical stimulus impacts other organelles, including the nucleus, thus playing a vital role in sensing and signaling nuclear adaptations. However, there is limited understanding of how changes in cardiac contractility affect nuclear mechanics. Here, we sought to investigate the effects of hyper- and hypo-contractility in nuclei of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) bearing TNNT2 pathogenic variants associated with hypertrophic (HCM) or dilated …

Chemoproteomic Profiling Of A Carbon-Stabilized Gold(Iii) Macrocycle Reveals Cellular Engagement With Hmox2, Sailajah Gukathasan, Chibuzor Ngozi Olelewe, Libby Ratliff, Jong H. Kim, Alyson M. Ackerman, J. Robert Mccorkle, Sean Parkin, Gunnar F. Kwakye, Jill M. Kolesar, Samuel G. Awuah

Chemistry Faculty Publications

In this work, we discovered a novel organometallic gold(III) macrocycle, Au-Mac1, that demonstrates anticancer potency in a panel of triple-negative breast cancer cells (TNBC), and based on this complex, a biotinylated-Au-Mac1 probe was designed for target identification via chemoproteomics, which uncovered the engagement of HMOX2 of the heme-energy metabolism pathway. Using orthogonal chemical biology and molecular biology approaches, including immunoblotting, flow cytometry, and cellular thermal shift assays, it was confirmed that Au-Mac1 engages HMOX2 in cells. Downstream effects of Au-Mac1 on the depletion of mitochondrial membrane proteins and bioenergetics point to the potential role of HMOX2 in cancer. Importantly, Au-Mac1 …

Functional Utility Of Gold Complexes With Phosphorus Donor Ligands In Biological Systems, Adedamola S. Arojojoye, Samuel G. Awuah

Chemistry Faculty Publications

Metallo-phosphines are ubiquitous in organometallic chemistry with widespread applications as catalysts in various chemical transformations, precursors for organic electronics, and chemotherapeutic agents or chemical probes. Here, we provide a comprehensive review of the exploration of the current biological applications of Au complexes bearing phosphine donor ligands. The goal is to deepen our understanding of the synthetic utility and reactivity of Au-phosphine complexes to provide insights that could lead to the design of new molecules and enhance the cross-application or repurposing of these complexes.

Pathways To Nursing And Midwifery Education In Tanzania With Reflection To The Global Perspectives: A Narrative Review, Tumbwene Mwansisya, Mary Lyimo, Eunice Pallangyo

School of Nursing & Midwifery, East Africa

Background/Objectives:

This review aimed to explore the pathways of nursing and midwifery education in Tanzania and compare them with global perspectives. The goal was to identify similarities, differences, and areas for potential improvement to align with international standards.

Methods:

A narrative literature review was carried out through databases with published studies in nursing and gray literature. The database search included Medline, PubMed, Google Scholar, EBSCO, PsycINFO, clinical nursing, and gray literature from January 2014 up to December 2024. The search process was carried out by the authors with the following key words: admission, pathway to nursing profession, delivery mode, …

Iodinated Disinfection Byproduct Formation From Iohexol In Sunlit And Chlorinated Urban Wastewaters, Reagan Patton Witt, Marcelo I. Guzman

Chemistry Faculty Publications

Iodinated disinfection by-products (I-DBPs) are of growing concern due to their elevated toxicity compared to their chlorinated counterparts, with links to adverse health effects such as bladder cancer and miscarriages. Medical imaging agents like iohexol, commonly used in healthcare facilities, introduce iodine into wastewater systems. This study investigates the photodegradation of iohexol and the subsequent formation of products, including I-DBPs, during simulated final wastewater treatment under chlorination and sunlight exposure. Experiments were conducted with solutions containing 30 μM iohexol, 3 mg L⁻¹ humic acids, and 5.5 mg L⁻¹ hypochlorite. Samples were irradiated at λ ≥ 295 nm and …

Improving Proteostasis Of Trafficking-Deficient GabaAReceptor Variants By Activating Ire1, Xu Fu, Ya Juan Wang, Kyung A. Lee, Lucie Y. Ahn, Xi Chen, Brock T. Harvey, Meng Wang, Hailey Seibert, Pei Pei Zhang, Adrian Guerrero, Ashleigh E. Schaffer, Christopher I. Richards, R. Luke Wiseman, Jeffery W. Kelly, Ting Wei Mu

Chemistry Faculty Publications

Gamma-aminobutyric acid type A receptors (GABA_ARs) are essential for maintaining the excitation–inhibition balance in the central nervous system. Genetic variations of GABA_ARs result in a variety of neurological disorders, such as epilepsy. A key pathogenic mechanism involves protein misfolding and defective assembly of GABA_ARs in the endoplasmic reticulum (ER), resulting in impaired surface expression and loss of function. Here, we investigated three trafficking-deficient variants of the GABA_AR α1 subunit (GABRA1), including D219N (ClinVar Variation ID: 127232), G251D (Variation ID: 419523), and P260L. We demonstrated that selective pharmacological activation of the IRE1/XBP1s signaling …

Parkinson's Disease Detection Using Deep Learning Approach Based On Wearable Sensor-Based Daily Monitoring, Bahaulddin N. Adday, Khalid Shaker, Ihsan Salman, Hothefa Shaker

Mesopotamian Journal of Artificial Intelligence in Healthcare

Parkinson's disease (PD) is a movement disorder characterized by motor dysfunction commonly bradyphemia, tremor, rigidity, akinesia, or slowness of movement. Noting that motor states can fluctuate in PD the primary aim of this current paper was to differentiate multiple states using wearable sensors in the patients and detection of this PD based on deep learning (CNN). Methodology: In this paper, the researchers recorded the signals of the accelerometer and gyroscope fixed on the wrist of PD in their regular daily functioning after using this dataset collection. The deep learning architecture developed was to optimize a CNN for analyzing the sensor …

Artificial Intelligence-Powered Robotic Technology For Transforming Palliative Care, Adebo Thomas, Asiku Denis, Wamusi Robert, Simon Peter Kabiito, Zaward Morish, Aziku Samuel, Malik Sallam, Ioannis Adamopoulos

Mesopotamian Journal of Artificial Intelligence in Healthcare

Palliative care seeks to improve the quality of life of patients with life-threatening illnesses by addressing their physical, emotional, and psychological needs. However, global challenges such as workforce shortages, limited access to specialized care, and inconsistent care quality demand innovative solutions. Advances in artificial intelligence (AI)-powered robotics offer transformative potential to overcome these barriers and strengthen palliative care delivery. This study explores how AI-driven robotic technologies support palliative care through applications in symptom monitoring, clinical decision-making, emotional companionship, and personalized care planning. It reviews cutting-edge robotic systems, including assistive, companion, diagnostic, nursing, procedural, service, and rehabilitation robots. Enabled by machine …

The Role Of Artificial Intelligence In Early Tumor Detection: An Xgboost Risk Assessment Model For Egyptian Patients, Toufik Mzili, Mourad Mzili, Saif Islam Bouderba, Ahmed Abatal, Widi Aribowo, Zahra Oughannou

Mesopotamian Journal of Artificial Intelligence in Healthcare

This study developed an XGBoost-based risk assessment model to enhance early tumor detection among Egyptian patients, addressing the challenges of late diagnosis and limited healthcare resources. Utilizing a retrospective dataset of 178 patients, the model incorporated demographic, clinical, and biochemical variables, including AFP levels, viral hepatitis status (HBV/HCV), and liver function markers. The model demonstrated strong predictive performance, achieving an accuracy of 0.833, precision of 0.846, and an AUC of 0.86, though recall remained moderate (0.688), indicating room for improvement in identifying high-risk cases. Feature importance analysis highlighted AFP levels and hepatitis status as the most influential predictors, aligning with …

Clinical Data Analysis Using Machine Learning Algorithms To Predict The Progression Of Type 2 Diabetes, Niki Syrou, George Mpourazanis, Panagiotis Tsirkas, Jovanna Adamopoulou, Jovanna Adamopoulou

Mesopotamian Journal of Artificial Intelligence in Healthcare

Type 2 diabetes mellitus (T2DM) is a growing global health concern requiring early detection strategies. This study applies a Random Forest machine learning model to predict diabetes progression using a structured clinical dataset of 100 patients. The dataset includes demographic, physiological, and biochemical variables such as age, BMI, blood pressure, glucose levels, and lipid profiles. After preprocessing and training, the model achieved strong performance metrics: accuracy of 0.80, precision of 0.84, recall of 0.94, and an AUC of 0.88. Feature importance analysis revealed that systolic blood pressure, fasting glucose, and BMI are the most critical predictors. These findings are consistent …

Machine Learning Approaches For Predicting Breast Cancer Recurrence: A Comparative Analysis, Noor Razzaq Abbas, Hussein Alkattan, Isam Bahaa Aldallal

Mesopotamian Journal of Artificial Intelligence in Healthcare

This paper reports a comparative analysis of four supervised machine learning algorithms: RF, SVM (using radial and linear kernels), Logistic Regression, and Multi-Layer Perceptron, for breast cancer recurrence prediction on a carefully curated clinical dataset. The data set, first collected by Royston and Altman and subsequently released on Kaggle, has patient age, menopausal status, tumor size, histological grade, lymph node status, estrogen and progesterone receptor levels, hormone therapy for treatment, recurrence-free survival time, and a binary recurrence outcome. The data set was then divided after the elimination of identifiers and z-score normalization in an 80:20 ratio using stratified sampling. Models …

Deep Learning Approaches For Predicting Strain Energy In Heterogeneous Materials, Junesh Gautam

Electronic Theses and Dissertations

Finite Element Analysis (FEA) faces computational challenges when analyzing nonlinear and heterogeneous materials. Utilizing the Mechanical MNIST dataset, comprising 60,000 simulated samples of 28x28 pixel domains under large deformation, the study evaluates classical regression methods (Linear Regression, Random Forest, Gradient Boosting) and advanced deep learning architectures (Convolutional Neural Networks (CNN) and Residual Networks (ResNet)). CNN models achieved superior performance, with a Mean Squared Error (MSE) of 4.21 and an R2 value of approximately 0.982, outperforming classical regression models and slightly surpassing ResNet architectures. These deep learning methods automatically learn spatial relationships from pixel-based representations, eliminating the need for manual feature …

Effects Of Essential Oils Alone Or In Combination With Monensin In An In Vitro Model Of Ruminal Acidosis, Jorge L. Bonilla Urbina

Electronic Theses and Dissertations

The objective of this study was to evaluate the effect of essential oils and/or monensin on the concentration of volatile fatty acids (VFA), ammonia, and pH in a ruminal acidosis in vitro model. Red Angus steers (n = 4; BW = 435 ± 9 kg) with ruminal and duodenal cannulas were allocated in a 4 × 4 Latin square design. Treatments were 1) Fed no essential oils (RB) or monensin sodium (MON:CON); 2) Fed RB at a rate of 14 g daily with no Mon (RB+); 3) Fed no RB and fed Mon at 400 mg daily (MON+); 4) Fed …

Design And Fabrication Of Tpms-Based Bone Scaffolds: A Cost-Effective Approach Using Plga-Nha And 3d-Printed Pva Molds, Yasser Ahmed

Theses and Dissertations

This thesis introduces a new cost-effective method for fabricating bone scaffolds from triply periodic minimal surface (TPMS) geometries—namely Gyroid and Diamond structure—using a poly(lactic-co-glycolic acid)-nanohydroxyapatite (PLGA-nHA) composite and 3D-printed polyvinyl alcohol (PVA) molds. Current TPMS scaffold fabrication techniques depend on costly laser-based techniques like selective laser sintering and thus remain inaccessible. Herein, we reveal a cost-effective and repeatable indirect approach via fused deposition modeling (FDM) for printing water-soluble PVA molds, which are then iteratively cast filled with a PLGA-nHA solution. The protocol was optimized through concentration modulation and controlled evaporation of the solvent for optimum infiltration and uniformity in the …

Hillslope Degradation: Coarse Sands May Move Faster But Fines Dominate Flux, Robert Chance

Theses and Dissertations

Hillslopes are one of the most pervasive landforms on Earth yet the details of the processes that drive their evolution are not completely understood. Excluding boulders, the majority of mass and volume in soil-mantled hillslopes is composed of sand-sized and finer grains. Understanding the transport rates and governing transport mechanisms of these grains is therefore key to advancing our knowledge of hillslope evolution.This research investigates sand-sized sediment transport through field experiments at 20 sites tracking surface sediment motion and 11 sites measuring depth-dependent transport. These empirical results are compared against outputs from a novel grain-based hillslope diffusion simulation (GBHDS), which …

Assessment Of Medical Laboratory Science Student Motivation And Perceived Transfer Of Knowledge Towards Information Literacy, Shannon Jongeward

Theses and Dissertations

Information literacy skills are a cornerstone of higher education as they allow students to effectively locate, evaluate, and utilize information from various sources. Evidence-Based Practice, a process commonly used in healthcare for decision making, incorporates using the best available research, one’s clinical expertise, and the patient’s values. Information literacy is foundational to developing evidence-based practice skills. Medical Laboratory Scientists (MLS) utilize evidence-based practice to assist in making decisions about clinical laboratory tests and processes to ensure quality in testing and the appropriate use of resources; therefore, it is important for MLS programs to include elements of evidence-based practice into their …

The Roles Of Readily Releasable Stores Of Endolysosome Iron In The Pathogenesis And Treatment Of Alzheimer's Disease, Darius N.K Quansah

Theses and Dissertations

Alzheimer’s disease (AD) is a neurodegenerative disorder characterized clinically as progressive decline in cognition and dementia. Pathologically, AD is characterized by the extracellular presence of senile plaques composed of accumulated amyloid beta (Aβ) proteins and intraneuronal accumulation of neurofibrillary tangles composed of hyperphosphorylated tau proteins. In addition to these pathological hallmarks, AD pathogenesis is characterized by increases in intracellular iron and reactive oxygen species (ROS) and the link between the two have been well described by Fenton’s chemistry. Endolysosomes appear to be affected very early in the onset of AD. Endolysosomes contain labile stores of iron which can be readily …

Ecological Dynamics In Beaver-Engineered Boreal Wetlands: Amphibian Phenology, Occupancy, And Aquatic Macroinvertebrate Communities, Talon Stammen

Theses and Dissertations

Boreal wetlands are ecologically rich yet vulnerable ecosystems shaped by hydrological dynamics, cold climate regimes, and landscape-scale disturbances. Among the most influential agents of change in these systems are beavers (Castor canadensis), whose engineering activities create a mosaic of lentic habitats at varying stages of ecological succession. This dissertation investigates the structure and dynamics of amphibian and aquatic macroinvertebrate communities across a beaver-influenced wetland landscape in Voyageurs National Park, Minnesota, USA.The first study (Chapter II) examines breeding phenology and detection patterns of boreal anurans using a combination of passive acoustic monitoring and visual encounter surveys at 25 wetlands over four …

Zaasijiwan: An Indigenized Health Communication Framework For American Indian And Alaska Native Communities, Jennifer Wolf

Theses and Dissertations

The Zaasijiwan Framework represents an Indigenized health communication model developed to enhance the cultural relevance, trust, and effectiveness of public health messaging for American Indian and Alaska Native (AI/AN) communities. This qualitative study integrated Indigenous and Western public health knowledge to inform the development of the framework. A comprehensive literature review and two rounds of key informant interviews with health communication professionals informed the design of the framework. Findings emphasized the importance of community co-creation and strengths-based narratives, along with other framework elements, in overcoming medical mistrust and improving health outcomes. The final framework offers public health professionals, Tribal, and …

Pediatric Cancer Incidence, Temporal Trends, And Mortality In The United States By Health Disparities Indicators, Seer (1973-2014), Prachi P. Chavan, Laurens Holmes Jr.

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background: Pediatric cancer incidence has been increasing in the United States, despite improvement in pediatric cancer survival. This steady increase in incidence trends is not completely understood but maybe associated with social and environmental factors. In this study we aimed to assess the cumulative incidence, temporal trends, and mortality rates in pediatric cancer. Additionally, we examined sub-group variability in both incidence and mortality rates. Methods: Data from Surveillance, Epidemiology, and End Results (SEER) −18 from 1973–2014 were used for the purpose of analysis in this study. Age-adjusted incidence rates were used to assess temporal trends in cancer among children aged < 1–19 years. Univariable and multivariable binomial regression models were used to examine the association between race and cancer mortality while adjusting for potential confounders. Results: There were 92,594 cancer diagnoses during this period. White children comprised 74,758, (80.7%), black children 10,030, (10.8%), and other races 6648, (7.2%). Overall the age-adjusted cumulative incidence was slightly higher among white children (16.4%) than black children (12.4%) and other (13.0%). Children aged 15–19 years and those in metropolitan regions were more likely to be diagnosed with pediatric cancer. Relative to females, males were 16% more likely to die from the disease [adjusted Risk Ratio (aRR): 1.16, 95% Confidence Interval (CI): 1.09–1.22]. Additionally, compared to white children, black children had higher mortality rates [(aRR): 1.37, 99% CI: 1.23–1.52]. Conclusions: There is an increasing trend in pediatric cancer incidence; while white children have the highest incidence, black children and males indicated a survival disadvantage, indicative of racial and sex variability in overall pediatric cancer in the United States.

Predictors Of Donor-Site Wound Complications Following Fibula Free Flap Reconstruction, Soroush Ershadifar, Angela Colback, Ugur Nur Basmaci, Machelle Wilson, Andrew C Birkeland, Dustin A Silverman

Faculty, Staff and Student Publications

Objective: The fibula free flap (FFF) remains the workhorse flap for head and neck defects necessitating osteocutaneous reconstruction. Although lower extremity angiography, ultrasound (US), and other vascular studies are routinely used for fibula assessment and patient selection, predictors of donor-site morbidity following harvest remain poorly understood. We sought to investigate the factors associated with FFF donor-site complications.

Study design: Retrospective analysis of patients at a tertiary care center.

Setting: Tertiary care center.

Methods: In total, 119 patients undergoing FFF reconstruction during the years 2012 to 2022 were included. Multivariable logistic regression was used to identify independent predictors of soft-tissue donor-site …

Gadd34 And Crep Regulation In The Unfolded Protein Response, Comparing Molecular Mechanisms In Humans And Zebrafish, Angela Adams

University of the Pacific Theses and Dissertations

In eukaryotic cells, many newly synthesized proteins are sent to the endoplasmic reticulum (ER) of a cell to be folded into the proper conformation for functionality. When proteins get misfolded, or cannot be folded fast enough, these proteins accumulate in the ER which causes the cell to become stressed. This leads to a process known as the Unfolded Protein Response (UPR). Once UPR has been initiated, the α subunit of eukaryotic initiation factor 2 (eIF2α) becomes phosphorylated to inhibit global protein synthesis within the cell, while simultaneously activating the expression of several genes to either aid in cell recovery or …

Knocking On Resistance’S Door: Investigating The Spread And Drivers Of Kdr Mutations In Northern California Culex Tarsalis, Esther Blankenship-Cutshall

University of the Pacific Theses and Dissertations

Vector-borne diseases are an increasingly relevant threat to public health as climate change alters the ecology of vector populations in relation to humans. One key to combating vector-borne disease is using pyrethroid insecticides against mosquito populations. However, wild mosquito populations have exhibited resistance to those key pyrethroids. One resistance mechanism under investigation is the altering of the voltage-gated sodium channel, which is associated with the genetic mutations known as kdr. The prevalence and history of kdr mutations has been investigated in some populations of Culex pipiens, however, it is unknown in northern California Culex tarsalis populations. This study aims to …

The Changing Nature Of Outdoor Play Spaces In West Australian Primary Schools: An Exploratory Case Study. Exploring Play Opportunities, Design And Utilisation Of An Intentionally Designed Nature Play Space (Idnps)., Catherine Fitzhardinge

Theses

The development, wellbeing and learning of children is of global importance; opportunities that promote healthy childhood development have long lasting social and economic impacts. Play is the primary occupation through which children develop; nature play provides opportunities for physical, cognitive, social and emotional skill development. West Australian (WA) schools are installing intentionally designed nature play spaces (IDNPS) to support outdoor play opportunities and connection to nature. However, there is little contextual evidence regarding how these spaces are designed and utilised to support child development, wellbeing and learning.

This exploratory, mixed methods case study examined how children aged 4-7 years old …

Structural Optimization And Stability Enhancement Of Uba(2) And Ntl9 Using The Computational Tool: Emcast, Bahar Ghazi Esfahani

Graduate Student Theses, Dissertations, & Professional Papers

This study enhances protein stability prediction by refining EmCAST (Empirical C-Alpha Stability Tool), a computational tool used to identify stabilizing mutations in protein domains. We applied EmCAST to two model proteins: the α-helical ubiquitin-associated domain 2 (UBA(2)) and the α/β N-terminal domain of ribosomal protein L9 (NTL9). Protein stability is critical for proper function, and mutations can lead to misfolding and disease. To validate EmCAST’s predictions, guanidine hydrochloride-induced denaturation was monitored using circular dichroism (CD) spectroscopy for both wild-type and mutant variants. Results guided refinements to EmCAST’s algorithm, incorporating new experimental datasets to improve accuracy. Additionally, we examined the assumption …