Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

2024

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 182881 - 182910 of 193446

Full-Text Articles in Entire DC Network

Role Of Interleukin 2 Receptor Alpha In The Cellular Response To Dna Damage, Shristi Khanal Jan 2024

Role Of Interleukin 2 Receptor Alpha In The Cellular Response To Dna Damage, Shristi Khanal

Browse all Theses and Dissertations

The interleukin 2 receptor alpha (IL-2Rα), which is integral to the functioning of the cytokine interleukin 2, has recently been found to be present in different cell types besides just lymphocytes. Previous studies done by our laboratory showed that several other non-lymphoid cells including smooth muscle cells express IL-2Rα. Vascular smooth muscle cell (VSMC) deficient in IL-2Rα exhibited increased proliferation, decreased size, and hypodiploid DNA content when compared to wild type (WT) cells. Previous studies also suggested that VSMC proliferate in response to IL-2 and that IL-2 increases following interventions to stimulate intimal hyperplasia in vivo. These findings, in total, …

Go to article

Is There More To Organizational Justice Than "Just" Fairness? A Meta-Analysis On The Construct Validity Of Overall Justice, Alec C. Drabish Jan 2024

Is There More To Organizational Justice Than "Just" Fairness? A Meta-Analysis On The Construct Validity Of Overall Justice, Alec C. Drabish

Browse all Theses and Dissertations

Despite there being many meta-analyses on organizational justice in the last 25 years, no meta-analysis has focused on overall justice, a global perception of fairness in organizations. In light of this, my dissertation is a meta-analysis focused on the construct validity of overall justice and its integration with key models of organizational justice. To do this, I identified 183 independent samples from across the globe that use Ambrose and Schminke’s (2009) perceived overall justice scale. From there, I used a combination of traditional meta-analytic techniques and meta-analytic structural equation modelling to test my hypotheses. Foremost, I found that overall justice …

Go to article

Distribution And Fate Of Selected Non-Point Source Pollutants In The Dayton Streams And Tributaries: Effect Of Land Use In An Urban Watershed, Smriti Bastakoti Jan 2024

Distribution And Fate Of Selected Non-Point Source Pollutants In The Dayton Streams And Tributaries: Effect Of Land Use In An Urban Watershed, Smriti Bastakoti

Browse all Theses and Dissertations

This study investigates the distribution of water pollutants in the urban and suburban watershed (Beavercreek Sub-watershed (BCS) and Little Beavercreek Sub-watershed (LBS)) of Dayton, Ohio USA focusing on the relationship between water quality and land use types based on 2021 land use maps obtained from MRLC. These watersheds are home for aquatic life and regulate the flow of surface water and recharge groundwater so, it is crucial to maintain good water quality by balancing urbanization and farmland within these two watersheds. We analyzed chloride, nitrate, and sulfate using ion chromatography (IC) and orthophosphate using UV/Vis Spectrophotometry. Additionally, three pesticides (Atrazine, …

Go to article

Attentional Demands Of Smooth Pursuit, Sasha Marie Willis Jan 2024

Attentional Demands Of Smooth Pursuit, Sasha Marie Willis

Browse all Theses and Dissertations

The current study investigates whether maintenance of smooth pursuit eye movements requires attention or if the traditional small-spot pursuit stimulus has propagated this long-held belief by imposing the attentional demands of the saccadic system (through foveation) onto the pursuit task. Using a within-subjects design, we compare single- and dual-task performance for two difficulty levels of an auditory tone discrimination task and a pursuit eye movement task with both small and large pursuit targets (N = 10). Pursuit performance improved when target size increased (for catch-up saccade rate and steady-state gain) and when auditory task difficulty increased (for catch-up saccade rate). …

Go to article

Measured Phase History Data For Target Recognition Studies, Gregory A. Seltzer Jan 2024

Measured Phase History Data For Target Recognition Studies, Gregory A. Seltzer

Browse all Theses and Dissertations

Performing automatic target recognition (ATR) on full-size aircraft targets using inverse synthetic aperture radar (ISAR) data is challenging and expensive. The use of scale models and radar systems of such large targets saves time and reduces facility requirements. This study examines the feasibility of performing ATR on 1:144 scale model airplanes at Ka-band. The scale model and Ka-band radar simulate the collection of full-scale targets at VHF-band. The phase history measurement collections were completed in the Sensors and Signals Exploitation Laboratory (SSEL) at Wright State University. To ensure sufficient data for training and testing, the phase history data was augmented …

Go to article

Application Of Multiple Data Augmentation Techniques To Improve Training With Synthetic Sar Data In Common Cnn, Stephanie M.V. Saich Jan 2024

Application Of Multiple Data Augmentation Techniques To Improve Training With Synthetic Sar Data In Common Cnn, Stephanie M.V. Saich

Browse all Theses and Dissertations

To address the issues of limited target data in the Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) problem set, synthetic data is often used to aid in filling the gap. This paper covers an in depth look at the use of colorization, dynamic range adjustment, and target extraction as data augmentation techniques to improve the accuracy of deep learning networks trained on synthetic SAR data. The use of multiple different data augmentations combine to dramatically improve the accuracy of a common Convolutional Neural Network (CNN) over the use of standard synthetic data. A comparison of increasing fraction of measured …

Go to article

Augmenting Back-Translation Decision Making With Latent Semantic Analysis: Predicting Expert Decisions With Semantic Similarity Scores From American Sign Language, Jared A. Embree Jan 2024

Augmenting Back-Translation Decision Making With Latent Semantic Analysis: Predicting Expert Decisions With Semantic Similarity Scores From American Sign Language, Jared A. Embree

Browse all Theses and Dissertations

This dissertation focused on a novel improvement to the current method for adapting assessments into American Sign Language (ASL). Bilingual Deaf adults participated in back translations across the United States, and those back-translation decisions were assessed by human experts to judge similarity in meaning. Translations were compared to original text samples using two types of Latent Semantic Analysis (LSA) models to compute semantic textual similarity (STS) scores, and to calculate weighted Youden Index (WYI) Scores. These scores were used to determine the ideal cutoff to be used when making judgments and compared to human expert decisions. The results revealed that …

Go to article

Multi-Semantic-Stage Neural Networks For Robust And Interpretable Deep Learning, Christopher J. Menart Jan 2024

Multi-Semantic-Stage Neural Networks For Robust And Interpretable Deep Learning, Christopher J. Menart

Browse all Theses and Dissertations

Deep neural networks have great representational power. However, most deep neural nets today optimize directly for performance on a single task defined only by labeled training data. This excludes potential sources of knowledge and ways of learning which could improve their performance, and address challenges, such as explainability, which are pressing to the field. We propose a framework for neural network architecture which generalizes it to a graph of many semantically-meaningful variables. We call it the Multi-Semantic-Stage Neural Network (MSSNN). An MSSNN models its domain as a web of conditional probabilities, i.e. a collection of inter-related tasks which can learn …

Go to article

Electrochemical-Thermal Model Of A Lithium-Ion Battery, Paul Kalungi Jan 2024

Electrochemical-Thermal Model Of A Lithium-Ion Battery, Paul Kalungi

Browse all Theses and Dissertations

Lithium-ion batteries are an integral component of energy storage systems for renewable energy applications owing to their high energy density. Extensive research has therefore been carried out, utilizing both experimental and computational methods, to aid in a deeper understanding of lithium-ion batteries. Challenges related to efficiency, safety and thermal management persist, particularly during high current draw, extreme temperature conditions and extreme dynamic current operation such as in electric vehicles. This thesis work presents an electrochemical-thermal model of a lithium-ion battery that simulates and analyzes the variation of electrical behavior, chemical behavior and thermal behavior. The electrochemical model is developed by …

Go to article

Empirical Investigation Of Calibration Targets In Thz In The Near Field From 550 To 700 Ghz, Anais Kypris L. Rawson Jan 2024

Empirical Investigation Of Calibration Targets In Thz In The Near Field From 550 To 700 Ghz, Anais Kypris L. Rawson

Browse all Theses and Dissertations

The uncertainty of the standard calibration procedure for radar cross-section (RCS) measurement is studied for different targets measured in the near-field from 550 to 700 GHz. Using common calibration spheres and squat cylinders mounted on a styrofoam pedestal at waterline (zero-degrees elevation), the calibration difference measure is determined for each target. Similarly, the difference metric is determined for square trihedral and tophat targets placed on a ground plane and measured at different elevation angles. The mean calibration measure is calculated using the dual calibration target method and repeated measurements in an anechoic chamber. The specific THz system is described and …

Go to article

Pneumonia Detection With Limited And Imbalanced Data Using Energy-Based Out-Of-Distribution Technique, Jasbin Karki Jan 2024

Pneumonia Detection With Limited And Imbalanced Data Using Energy-Based Out-Of-Distribution Technique, Jasbin Karki

Browse all Theses and Dissertations

The automated detection of pneumonia through chest X-ray presents a critical challenge in medical diagnostics, particularly due to the restrictions of limited and imbalanced chest X-ray data for training AI models. Traditional methods that depend on softmax confidence scores can be overconfident even when generating erroneous outputs especially when they are processing completely new inputs, leading to unreliable diagnostic results. This research addresses challenges in AI models which aim to develop a robust pneumonia detection system using an Energy-Based Out-of-Distribution (OOD) technique that can work effectively even with limited and imbalanced data. The study focused on creating a more reliable …

Go to article

Test-Time Backdoor Attack Using Universal Perturbation, Jesse Alexander Smith Jan 2024

Test-Time Backdoor Attack Using Universal Perturbation, Jesse Alexander Smith

Browse all Theses and Dissertations

The rapid growth and widespread reliance on machine learning (ML) systems across critical applications such as healthcare, autonomous driving, and cybersecurity have un- derscored their transformative potential and heightened their susceptibility to adversarial attacks and vulnerabilities. This thesis investigates vulnerabilities in ML models, focusing on backdoor attacks, including naive backdoor attack, feature collision backdoor attack, hidden trigger backdoor attack, and test-time backdoor attack using universal perturbation technique. These methodologies demonstrate how adversaries can automate and conceal malicious behaviors to achieve specific objectives, posing significant challenges to ML model integrity and trustworthiness. The research provides a comprehensive analysis of the theoretical …

Go to article

Foreign Policy And International Power: The Effects Of The Us War In Afghanistan On India's Afghanistan Policy, Brian W. Storch Jan 2024

Foreign Policy And International Power: The Effects Of The Us War In Afghanistan On India's Afghanistan Policy, Brian W. Storch

Browse all Theses and Dissertations

India’s compliance to the United States’ regional ambitions following the 2001 invasion of Afghanistan demonstrated a unique re-alignment that reversed India’s historic defiance of international powers pursued since its independence. Instead of resisting the United States or seeking to disengage from the Afghan conflict, India provided aid to the new regime but did not extend military assistance because of limits set by the United States to appease Pakistan. India complied and increased cooperation with the United States despite the disadvantages this compliance presented. It will be argued that the structure of the international system enforcing US hegemony primarily influenced India’s …

Go to article

Performance Degradation Of Gan Hemts Under Rf Aging: Implications For Wireless Communications Standards, Nathan Grant Jan 2024

Performance Degradation Of Gan Hemts Under Rf Aging: Implications For Wireless Communications Standards, Nathan Grant

Browse all Theses and Dissertations

This study examines the aging effects of GaN HEMTs, focusing on the CG2H40010 device under conditions that mimic the high-power, high-frequency environments of wireless communication systems. With the increasing adoption of GaN technology in RF applications, understanding its degradation mechanisms under CW stress and modulated signal characterization is essential for predicting device lifetime and ensuring performance standards for modern communication systems. RFALT was employed to stress the device using CW signals, while key performance metrics, such as gain compression, gate leakage, ACP, and EVM, were assessed using W-CDMA signals to replicate real-world dynamic stresses. The findings reveal that CW stress …

Go to article

Novel Approaches To Treatment Of Hyperexcitability In Skeletal Muscle, Phillip Vance Walker Ii Jan 2024

Novel Approaches To Treatment Of Hyperexcitability In Skeletal Muscle, Phillip Vance Walker Ii

Browse all Theses and Dissertations

Myotonia Congenita (MC) is a rare, inherited ion channelopathy caused by a loss-of-function mutation in the CLCN1 gene. The resulting downregulation of the skeletal muscle chloride channel (ClC-1) results in hyperexcitable skeletal muscle fibers that fire action potentials involuntarily. Patients with MC suffer from debilitating stiffness due to myotonia, described clinically as delayed muscle relaxation following voluntary contraction. Skeletal muscle is a unique system we use in this study to advance our understanding of the pathophysiology underlying MC, and other channelopathies characterized by hyperexcitable cells (i.e., forms of epilepsy and cardiac arrhythmia). Furthermore, re-assessing what makes anti-myotonic drugs such as …

Go to article

A Novel In-Vitro Approach To Investigate The Molecular Interaction Between Inhaled Particles And The Human Pulmonary Surfactant System, Bryan Mayville Jan 2024

A Novel In-Vitro Approach To Investigate The Molecular Interaction Between Inhaled Particles And The Human Pulmonary Surfactant System, Bryan Mayville

Browse all Theses and Dissertations

The deployment of military personnel to austere environments poses significant pulmonary health risks from inhalation of particulates including sand, dust, pollution, and heavy machinery exhaust. When particles are less than 10 µm in diameter, they can penetrate deep within the alveoli and embed within the protective lung surfactant monolayer. Here, absorption of surfactant lipids to the particle surface disrupts the essential monolayer configuration needed to reduce surface tension and prevent atelectasis, thus leading to disease. Currently, there are no in vitro surfactant-producing lung cell models capable of studying the effects of inhaled particles on the human pulmonary surfactant system. A549 …

Go to article

Insights Into Hyperkalemic Periodic Paralysis: Novel Mechanisms And Treatments, Christopher Dupont Jan 2024

Insights Into Hyperkalemic Periodic Paralysis: Novel Mechanisms And Treatments, Christopher Dupont

Browse all Theses and Dissertations

Hyperkalemic Periodic Paralysis (hyperKPP) is an inherited channelopathy that leads to incapacitating episodes marked by severe skeletal muscle weakness or total paralysis, often accompanied by muscular stiffness (myotonia). The periods of muscle dysfunction are thought to be caused by the elevation in extracellular potassium (K). This autosomal dominant disorder is associated with mutations in the skeletal muscle voltage-gated sodium channel (Nav1.4). A multitude of inciting factors have been documented, including rest post-exertion, a potassium-rich diet, exposure to cold temperatures, psychological stressors, and fatigue. Given the variability of the triggers and the debilitating manifestation of symptoms, individuals afflicted by hyperKPP have …

Go to article

Exploring The Effects Of Choline Treatment On Dystrophic Phenotype, Brooklyn Morris Jan 2024

Exploring The Effects Of Choline Treatment On Dystrophic Phenotype, Brooklyn Morris

Browse all Theses and Dissertations

Duchenne Muscular Dystrophy (DMD) is a devastating progressive muscular disorder caused by a mutation in the dystrophin gene affecting approximately 1 in 3,500 males. However, despite its prevalence, there is currently no cure for this disease. Mutations in dystrophin lead to enhanced inflammation, fibrosis, cell death, development, and decreased skeletal muscle function. Phosphatidylcholine, synthesized by choline, is a major phospholipid that functions in maintaining and synthesizing cell membranes and has previously been found to be decreased in DMD patients. This led us to hypothesize that the dystrophic phenotype could be improved through treatment with choline. In this study, we used …

Go to article

Semantics-Aware Text-Guided Aerial Image Synthesis By Feature Augmented Diffusion Models, Douglas J. Townsell Jan 2024

Semantics-Aware Text-Guided Aerial Image Synthesis By Feature Augmented Diffusion Models, Douglas J. Townsell

Browse all Theses and Dissertations

Aerial imagery provides crucial insights for various fields, including remote monitoring, environmental assessment, and autonomous navigation. However, the availability of aerial image datasets is limited due to privacy concerns and imbalanced data distribution, impeding the development of robust deep learning models. While recent text-guided generative models have shown promise in synthesizing high-quality images, they fall short in handling the unique challenges of aerial imagery, including densely packed objects, intricate spatial relationships, and the absence of paired text-aerial image datasets. To tackle these limitations, we propose STARS, a groundbreaking framework for Semantic-aware Text-guided Aerial image Refinement and Synthesis. STARS introduces a …

Go to article

Development Of Sulfur-Based N-Heterocyclic Carbenes And Their Potential Energy Applications, Kalpana Sampath Jan 2024

Development Of Sulfur-Based N-Heterocyclic Carbenes And Their Potential Energy Applications, Kalpana Sampath

Browse all Theses and Dissertations

N-heterocyclic carbenes (NHCs), a characteristic 5-membered ring structure, contain a carbene carbon and at least one nitrogen atom. The presence of nitrogen atoms in the cyclic structure has two effects on its electronic structure: it withdraws σ-electrons and donates π-electrons to the carbene carbon, significantly enhancing the electronic richness and stability of the carbene center. Incorporating heteroatoms like sulfur, oxygen, or phosphorus into the NHC framework has paved the way for advanced developments in their structural properties. The incorporation of additional aromatic ring/heteroatom into NHC offers novel pathways for functionalization, ultimately broadening its scope of potential applications. The primary goal …

Go to article

Comparative Analysis Of Motoneuronal C-Bouton Structural Alterations In Als And Aging, Shelby Nicole Ward Jan 2024

Comparative Analysis Of Motoneuronal C-Bouton Structural Alterations In Als And Aging, Shelby Nicole Ward

Browse all Theses and Dissertations

Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by motor neuron (MN) death resulting in paralysis and eventually death. ALS has greater prevalence in older populations sharing characteristics with aging like muscle weakness and MN type specific degeneration. MNs innervate skeletal muscles and control muscle contraction through their excitability which is altered in both conditions. C-Boutons are a cholinergic, excitatory synaptic input to MNs and have been studied in ALS and aging but have produced inconsistent findings and undesired gaps. We used immunohistochemistry to label mouse lumbar spinal cord and separate MN types. 60x imaging and automated analysis was …

Go to article

Functionalized 1,4-Naphthoquinone-Annulated N-Heterocyclic Carbenes For Biomedical Applications, Dilsha Samanali Wickramasinghe Jan 2024

Functionalized 1,4-Naphthoquinone-Annulated N-Heterocyclic Carbenes For Biomedical Applications, Dilsha Samanali Wickramasinghe

Browse all Theses and Dissertations

Gold has long been recognized for its medicinal applications, dating back centuries. The use of N-heterocyclic carbenes (NHCs), stable, tunable ligands, has revolutionized the development of metal complexes, particularly those involving gold. Among these, Au-NHC complexes have shown significant promise in treating various diseases, especially arthritis and cancer. More recently, our research has focused on synthesizing dual-targeting naphthoquinone-annulated NHC-based gold(I) complexes, which have demonstrated impressive therapeutic potential in cancer treatment. This emphasizes the growing importance of gold-based complexes in developing more selective and effective cancer therapies. By strategically tuning the electronic and steric properties of these complexes, we have explored …

Go to article

Studies Of Selective And Reversible Inhibitors Of Calcium Entry In Immune Cells, Naga Lakshmi Gandi Jan 2024

Studies Of Selective And Reversible Inhibitors Of Calcium Entry In Immune Cells, Naga Lakshmi Gandi

Browse all Theses and Dissertations

Calcium signaling is a crucial regulator in many cellular processes, from immune response modulation to gene expression and apoptosis. Here, I have investigated the dynamics of calcium entry pathways, namely, store-operated calcium entry and store-independent calcium entry using a variety of cell types such as Jurkat T cells, HEK-293 cells and murine macrophages. Using fluorescence calcium imaging and selective inhibitor compounds, I have investigated the contributions of Orai and related calcium channels to calcium entry in both immune and non-immune cell types. The results demonstrate the pharmacological modulation of store-operated and store-independent calcium entry, showing the ability of compounds such …

Go to article

Sex-Driven Alterations In Aging Alpha Motoneurons: Exploring Size, Type, Density, And Kv2.1 Channel Expression, Kalin R. Gerber Jan 2024

Sex-Driven Alterations In Aging Alpha Motoneurons: Exploring Size, Type, Density, And Kv2.1 Channel Expression, Kalin R. Gerber

Browse all Theses and Dissertations

This research explores how motor neurons (MNs) and Kv2.1 clustering change with age, emphasizing sex differences and MN subtypes. We found that MN density decreases with age in both sexes, while soma size increases in male mice. FF MNs were the most affected, and old weak mice had smaller MNs than their stronger counterparts, underscoring FF MN vulnerability. Baseline studies revealed that FF and FI MNs have larger Kv2.1 clusters compared to FR and S MNs. Female mice had smaller, denser Kv2.1 clusters than male mice, suggesting less clustering in females. With age, Kv2.1 clusters grew larger but became less …

Go to article

Graph-Centric Bot Detection: Addressing Extreme Data Imbalances, Heterophily, And Scarcity, Bradley T. Ashmore Jan 2024

Graph-Centric Bot Detection: Addressing Extreme Data Imbalances, Heterophily, And Scarcity, Bradley T. Ashmore

Browse all Theses and Dissertations

The digital landscape is ever-evolving. In recent years the amount of bot traffic, traffic generated by autonomous applications over the internet has increased significantly. Many bots perform useful and needed functions, however, malicious bots are known sources of both common and emerging security threats. Denial-of-Services (DoS), information theft, and credential stuffing have all been conducted by malicious software running on unknowingly infected machines. The dichotomy of useful bots operating in the same networks as malicious bots combined with novel bot attacks and an ever-increasing number of personal devices connecting to the Internet drives the need for continued advancement of malicious …

Go to article

Investigating The Effects Of Human Astroviruses On Aquaporins And Tight Junction Proteins In Vitro, Makalia T. Robinson Jan 2024

Investigating The Effects Of Human Astroviruses On Aquaporins And Tight Junction Proteins In Vitro, Makalia T. Robinson

Browse all Theses and Dissertations

Human Astroviruses (HAstV) are positive sense non-enveloped single stranded RNA viruses. HAstV is divided into classical (serotype 1-8) and non-classical (HAstVMLB 1-3 and HAstV-VA1-5) astroviruses. Classical HAstV is known to cause diarrhea in children, elderly, and immunocompromised patients. Additionally, the etiology of nonclassical HAstV remains unknown. However, recent studies have implicated non-classical HAstV closely associated with immunocompromised patients diagnosed neurological diseases like acute encephalitis. The mechanisms by which HAstV cause diarrhea is currently unknown. Aquaporins (AQPs) are integral membrane proteins that regulate the movement of water and small uncharged molecules across the cell membrane in response to osmotic gradients. Tight …

Go to article

A Trusted Adversarial Ml Countermeasure Approach For Secure And Resilient Ai-Driven Hardware Trojan Detection, Mohammed G M Alkurdi Jan 2024

A Trusted Adversarial Ml Countermeasure Approach For Secure And Resilient Ai-Driven Hardware Trojan Detection, Mohammed G M Alkurdi

Browse all Theses and Dissertations

Semiconductor microelectronics Integrated Circuits (ICs) are increasingly integrated into critical life applications including medical, aerospace, and Internet of things. Their increasing importance as a technology gave rise to critical concerns regarding their security. This has led to the focus of the research community on hardware Trojans, which are malicious modifications to the ICs with undesirable outcomes. Their detection is becoming increasingly critical, with many researchers proposing methods to do so such as reverse engineering, logic testing, and side-channel analysis. Many of these proposals utilize machine learning methods to detect these malicious modifications with high accuracy and confidence. However, machine learning …

Go to article

A Scholarly Judge: The Honorable William Holcombe Pryor Jr., Kenneth M. Rosen Jan 2024

A Scholarly Judge: The Honorable William Holcombe Pryor Jr., Kenneth M. Rosen

Articles

No abstract provided.

Go to article

The Price Of Criminal Law, Russell M. Gold Jan 2024

The Price Of Criminal Law, Russell M. Gold

Articles

Should tax dollars pay for more criminal law, better public schools, or a new community center? Different counties will answer the question differently, but facing these tradeoffs is profoundly important to democratic governance. Nonetheless, because the criminal legal system diffuses power and hides and offioads costs, officials and voters do not have to honestly consider that question. These structural features place a hidden thumb on the scale that gives counties more criminal enforcement than they pay for. That is a problem. Too much enforcement is particularly pernicious in criminal law: Incarceration inflicts tremendous suffering, especially in poor communities of color. …

Go to article

Children's Autonomy Rights Online, Clare Ryan Jan 2024

Children's Autonomy Rights Online, Clare Ryan

Articles

No abstract provided.

Go to article

First Prev Next Last