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Articles 123751 - 123780 of 1114252

Full-Text Articles in Entire DC Network

Genetic Characterization Of Primary And Metastatic High-Grade Serous Ovarian Cancer Tumors Reveals Distinct Features Associated With Survival, Emilee N Kotnik, Mary M Mullen, Nicholas C Spies, Tiandao Li, Matthew Inkman, Jin Zhang, Fernanda Martins-Rodrigues, Ian S Hagemann, Carolyn K Mccourt, Premal H Thaker, Andrea R Hagemann, Matthew A Powell, David G Mutch, Dineo Khabele, Gregory D Longmore, Christopher A Maher, Christopher A Miller, Katherine C Fuh, Et Al. Jul 2023

Genetic Characterization Of Primary And Metastatic High-Grade Serous Ovarian Cancer Tumors Reveals Distinct Features Associated With Survival, Emilee N Kotnik, Mary M Mullen, Nicholas C Spies, Tiandao Li, Matthew Inkman, Jin Zhang, Fernanda Martins-Rodrigues, Ian S Hagemann, Carolyn K Mccourt, Premal H Thaker, Andrea R Hagemann, Matthew A Powell, David G Mutch, Dineo Khabele, Gregory D Longmore, Christopher A Maher, Christopher A Miller, Katherine C Fuh, Et Al.

2020-Current year OA Pubs

High-grade serous ovarian cancer (HGSC) is the most lethal histotype of ovarian cancer and the majority of cases present with metastasis and late-stage disease. Over the last few decades, the overall survival for patients has not significantly improved, and there are limited targeted treatment options. We aimed to better characterize the distinctions between primary and metastatic tumors based on short- or long-term survival. We characterized 39 matched primary and metastatic tumors by whole exome and RNA sequencing. Of these, 23 were short-term (ST) survivors (overall survival (OS) < 3.5 years) and 16 were long-term (LT) survivors (OS > 5 years). We compared somatic mutations, copy number alterations, mutational burden, differential gene …

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Glass Ceramic Replacement With Htr Polymer - Id-06124, Paolo Markovina Jul 2023

Glass Ceramic Replacement With Htr Polymer - Id-06124, Paolo Markovina

Defensive Publications Series

The invention relates to a replacement of glass-ceramic plate of induction cooking hob with a high temperature resistance polymer plate. By this solution, integration of more different sensors could be enabled and by this the assisted cooking process would be possible to apply at the induction heating cooking hob. Moreover, the glass ceramic substitution by the HTR polymer plate would eliminate of glass ceramic braking process during the hob appliance transport, installation and use phases.

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The Validity Study Of A Channel-Based Demand Estimation Anp Model, Yasamin Salmani, Fariborz Y. Partovi Jul 2023

The Validity Study Of A Channel-Based Demand Estimation Anp Model, Yasamin Salmani, Fariborz Y. Partovi

Management Department Faculty Journal Articles

This paper suggests a solution for validating an ANP model in multi-channel retailing proposed by Salmani et al. (2018) through its application in the pet consumables industry. The purpose of the proposed ANP model is to develop a measurement for estimating the demand proportion attributed to each established sales channel. Utilizing an ANP model, channel selection customer criteria as well as the interrelations between channel structures in a multi-channel setting are quantified. This paper applies a survey-based study to collect data from random pet consumable customers. Using a compatibility measurement, per-channel proportions of demand found by ANP are compared with …

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Radiomics Characterization Of Tissues In An Animal Brain Tumor Model Imaged Using Dynamic Contrast Enhanced (Dce) Mri, Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Tavarekere N. Nagaraja, Benjamin Movsas, James R. Ewing, Indrin J. Chetty Jul 2023

Radiomics Characterization Of Tissues In An Animal Brain Tumor Model Imaged Using Dynamic Contrast Enhanced (Dce) Mri, Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Tavarekere N. Nagaraja, Benjamin Movsas, James R. Ewing, Indrin J. Chetty

Radiation Oncology Articles

Here, we investigate radiomics-based characterization of tumor vascular and microenvironmental properties in an orthotopic rat brain tumor model measured using dynamic-contrast-enhanced (DCE) MRI. Thirty-two immune compromised-RNU rats implanted with human U-251N cancer cells were imaged using DCE-MRI (7Tesla, Dual-Gradient-Echo). The aim was to perform pharmacokinetic analysis using a nested model (NM) selection technique to classify brain regions according to vasculature properties considered as the source of truth. A two-dimensional convolutional-based radiomics analysis was performed on the raw-DCE-MRI of the rat brains to generate dynamic radiomics maps. The raw-DCE-MRI and respective radiomics maps were used to build 28 unsupervised Kohonen self-organizing-maps …

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Path Dependence As A Path To Consumer Surplus And Loyalty, Sherzod B. Akhundjanov, Ben O. Smith, Max St. Brown Jul 2023

Path Dependence As A Path To Consumer Surplus And Loyalty, Sherzod B. Akhundjanov, Ben O. Smith, Max St. Brown

Economics Faculty Publications

In the technology and design industries, one product builds on another: A smart tele- vision enhances a smart phone. However, due to complementary features, the utility that is gained by owning both products from the same firm is greater than the sum of the two products’ utility if purchased from separate firms. Aftermarkets suggest that the margins of the second product would increase. Instead, we show that the firms’ complementary utility offset each other, which results in reduced prices. Further, consumer purchase behavior is a function of the product release order; given a different release schedule, some consumers would purchase …

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Skeletal Anatomy Of The Pectoral Fin In Mudskipper Species From Terrestrial And Aquatic Habitats, Haodong Zhou, Cassandra M. Donatelli, Odette Laneuville, Emily M. Standen Jul 2023

Skeletal Anatomy Of The Pectoral Fin In Mudskipper Species From Terrestrial And Aquatic Habitats, Haodong Zhou, Cassandra M. Donatelli, Odette Laneuville, Emily M. Standen

Engineering Faculty Articles and Research

Mudskippers are a group of amphibious fishes in the family Oxudercidae, whose species inhabit a range of habitats from mostly aquatic to mostly terrestrial. Most of our understanding about habitat preference comes from natural history observations, particularly where they are collected (i.e., low intertidal vs. high intertidal regions). Mudskippers have undergone several morphological changes to accommodate a terrestrial life, including major changes to the pectoral and pelvic girdles. These changes result in a novel crutching gait, which mudskippers use to move over land. Though the appendicular morphology and crutching gait of mudskippers have been described in some species, few …

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Focus, 2023, Spring, Andrews University Jul 2023

Focus, 2023, Spring, Andrews University

Focus

FOCUS (ISSN 1077-9345) is published quarterly, free of charge, for alumni and friends of Andrews University, an institution owned and operated by the Seventh-day Adventist Church.

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Cardiac Output And Stroke Volume From The Pneumocardiogram: A New Mechanistic Insight And Practical Calculation, Charles F. Babbs Jul 2023

Cardiac Output And Stroke Volume From The Pneumocardiogram: A New Mechanistic Insight And Practical Calculation, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

This paper presents a new and more complete mechanism for the genesis of the pneumocardiogram—a record of the small oscillations in airflow in the trachea and upper airways accompanying each heartbeat. This signal may be the basis of a simple, inexpensive and noninvasive measure of cardiac stroke volume; however, research into its practical use has languished because of poor understanding of its underlying cause and meaning. This paper explains the genesis of the pneumocardiogram, based upon net changes in intrathoracic blood volume during the cardiac cycle, together with low pass filtering of the volume signal by airway resistance and lung-chest …

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Crotalus Scutulatus Scutulatus Crude Venom And Its Purified Cysteine-Rich Secretory Protein (Css-Crisp), Armando Reyes, Joseph D. Hatcher, Emelyn Salazar, Jacob Galan, Anton Iliuk, Elda E. Sanchez, Montamas Suntravat Jul 2023

Crotalus Scutulatus Scutulatus Crude Venom And Its Purified Cysteine-Rich Secretory Protein (Css-Crisp), Armando Reyes, Joseph D. Hatcher, Emelyn Salazar, Jacob Galan, Anton Iliuk, Elda E. Sanchez, Montamas Suntravat

School of Medicine Publications

Increased vascular permeability is a frequent outcome of viperid snakebite envenomation, leading to local and systemic complications. We reported that snake venom cysteine-rich secretory proteins (svCRiSPs) from North American pit vipers increase vascular permeability both in vitro and in vivo. They also induce acute activation of several adhesion and signaling molecules that may play a critical role in the pathophysiology of snakebites. Extracellular vesicles (EVs) have gained interest for their diverse functions in intercellular communication, regulating cellular processes, blood-endothelium interactions, vascular permeability, and immune modulation. They also hold potential as valuable biomarkers for diagnosing, predicting, and monitoring therapeutic responses in …

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Proteomic Profiling Of Extracellular Vesicles Isolated From Plasma And Peritoneal Exudate In Mice Induced By Crotalus Scutulatus Scutulatus Crude Venom And Its Purified Cysteine-Rich Secretory Protein (Css-Crisp), Armando Reyes, Joseph D. Hatcher, Emelyn Salazar, Jacob Galan, Anton Iliuk, Elda E. Sanchez, Montamas Suntravat Jul 2023

Proteomic Profiling Of Extracellular Vesicles Isolated From Plasma And Peritoneal Exudate In Mice Induced By Crotalus Scutulatus Scutulatus Crude Venom And Its Purified Cysteine-Rich Secretory Protein (Css-Crisp), Armando Reyes, Joseph D. Hatcher, Emelyn Salazar, Jacob Galan, Anton Iliuk, Elda E. Sanchez, Montamas Suntravat

School of Medicine Publications

Increased vascular permeability is a frequent outcome of viperid snakebite envenomation, leading to local and systemic complications. We reported that snake venom cysteine-rich secretory proteins (svCRiSPs) from North American pit vipers increase vascular permeability both in vitro and in vivo. They also induce acute activation of several adhesion and signaling molecules that may play a critical role in the pathophysiology of snakebites. Extracellular vesicles (EVs) have gained interest for their diverse functions in intercellular communication, regulating cellular processes, blood-endothelium interactions, vascular permeability, and immune modulation. They also hold potential as valuable biomarkers for diagnosing, predicting, and monitoring therapeutic responses in …

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Humanities Center Annual Report 2022-23, Humanities Center, University Of San Diego Jul 2023

Humanities Center Annual Report 2022-23, Humanities Center, University Of San Diego

Humanities Center Annual Reports

No abstract provided.

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Study And Evaluation Of Parameters Influencing Parkison’S Disease Using 3d Cnn, Caroline El Fiorenza J, V. Sellam Jul 2023

Study And Evaluation Of Parameters Influencing Parkison’S Disease Using 3d Cnn, Caroline El Fiorenza J, V. Sellam

Applied Mathematics & Information Sciences

A diagnostic method of determining protein structure in persons for Parkinson’s disease (PD) would be a 3D imaging scan. Convolutional Neural Networks (CNNs), which are efficient when used with spatial data, are suitable candidates for automating this diagnostic procedure to assist medical workers. The protein structure of PD patients was evaluated or diagnosed using a Improved Faster Recurrent Convolutional Neural Network (IFRCNN) ordinal model in this article. A data preprocessing technique was modified to operate PD because IFRCNNs require big datasets to operate acceptably. We take into account the Improved Shortest Paths Ordinal Graph-based Oversampling (ISP-OGO) technique that employs a …

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Sixth-Kind Chebyshev Collocation Treatment Of Fractional Fredholm-Volterra Integro-Differential Equations, Mahmoud M. Mokhtar Jul 2023

Sixth-Kind Chebyshev Collocation Treatment Of Fractional Fredholm-Volterra Integro-Differential Equations, Mahmoud M. Mokhtar

Applied Mathematics & Information Sciences

We propose a spectral technique for solving mixed nonlinear and linear Fredholm-Volterra integro-differential equations. Our method involves transforming the problem using Simpson’s integration formula and expanding the solution as a series of sixth- kind Chebyshev polynomials. The convergence rate and estimated chopping error are analyzed, and numerical examples are provided to demonstrate the effectiveness and accuracy of the approach.

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Incidence, Mortality, And Cost Trends In Non-Ventilator Hospital-Acquired Pneumonia In Medicaid Beneficiaries, 2015-2019, Karen Giuliano Rn, Dian Baker Phd Jul 2023

Incidence, Mortality, And Cost Trends In Non-Ventilator Hospital-Acquired Pneumonia In Medicaid Beneficiaries, 2015-2019, Karen Giuliano Rn, Dian Baker Phd

Research and Education Celebration 2023 - Nursing Research Posters

No abstract provided.

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Benefits Of Implementing A Daily Safety Brief At The Baystate Children’S Hospital, Stephanie Adam Rn, Joanne Beachy Md, Charlotte Boney Md Jul 2023

Benefits Of Implementing A Daily Safety Brief At The Baystate Children’S Hospital, Stephanie Adam Rn, Joanne Beachy Md, Charlotte Boney Md

Research and Education Celebration 2023 - Nursing Research Posters

No abstract provided.

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Patient Safety And Quality Care: Time To Focus On Nonventilator Hospital-Acquired Pneumonia, Karen Giuliano Rn, Dian Baker Phd Jul 2023

Patient Safety And Quality Care: Time To Focus On Nonventilator Hospital-Acquired Pneumonia, Karen Giuliano Rn, Dian Baker Phd

Research and Education Celebration 2023 - Nursing Research Posters

No abstract provided.

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Taylor: A Magazine For Taylor University Alumni, Parents And Friends (Summer 2023), Taylor University Jul 2023

Taylor: A Magazine For Taylor University Alumni, Parents And Friends (Summer 2023), Taylor University

The Taylor Magazine (1963-Present)

The Summer 2023 edition of Taylor Magazine, published by Taylor University in Upland, Indiana.

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Improved Logical Reasoning Of Language Models Via Differentiable Symbolic Programming, Hanlin Zhang, Jiani Huang, Ziyang Li, Mayur Naik, Eric Xing Jul 2023

Improved Logical Reasoning Of Language Models Via Differentiable Symbolic Programming, Hanlin Zhang, Jiani Huang, Ziyang Li, Mayur Naik, Eric Xing

Machine Learning Faculty Publications

Pre-trained large language models (LMs) struggle to perform logical reasoning reliably despite advances in scale and compositionality. In this work, we tackle this challenge through the lens of symbolic programming. We propose DSR-LM, a Differentiable Symbolic Reasoning framework where pre-trained LMs govern the perception of factual knowledge, and a symbolic module performs deductive reasoning. In contrast to works that rely on hand-crafted logic rules, our differentiable symbolic reasoning framework efficiently learns weighted rules and applies semantic loss to further improve LMs. DSR-LM is scalable, interpretable, and allows easy integration of prior knowledge, thereby supporting extensive symbolic programming to robustly derive …

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Bertnet: Harvesting Knowledge Graphs With Arbitrary Relations From Pretrained Language Models, Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu Jul 2023

Bertnet: Harvesting Knowledge Graphs With Arbitrary Relations From Pretrained Language Models, Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu

Machine Learning Faculty Publications

It is crucial to automatically construct knowledge graphs (KGs) of diverse new relations to support knowledge discovery and broad applications. Previous KG construction methods, based on either crowdsourcing or text mining, are often limited to a small predefined set of relations due to manual cost or restrictions in text corpus. Recent research proposed to use pretrained language models (LMs) as implicit knowledge bases that accept knowledge queries with prompts. Yet, the implicit knowledge lacks many desirable properties of a full-scale symbolic KG, such as easy access, navigation, editing, and quality assurance. In this paper, we propose a new approach of …

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Phase-Aware Adversarial Defense For Improving Adversarial Robustness, Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu Jul 2023

Phase-Aware Adversarial Defense For Improving Adversarial Robustness, Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu

Machine Learning Faculty Publications

Deep neural networks have been found to be vulnerable to adversarial noise. Recent works show that exploring the impact of adversarial noise on intrinsic components of data can help improve adversarial robustness. However, the pattern closely related to human perception has not been deeply studied. In this paper, inspired by the cognitive science, we investigate the interference of adversarial noise from the perspective of image phase, and find ordinarily-trained models lack enough robustness against phase-level perturbations. Motivated by this, we propose a joint adversarial defense method: a phase-level adversarial training mechanism to enhance the adversarial robustness on the phase pattern; …

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Uncovering The Spatio-Temporal Impact Of The Covid-19 Pandemic On Shared E-Scooter Usage: A Spatial Panel Model, Farzana Mehzabin Tuli, Arna Nishita Nithila, Suman Mitra Jul 2023

Uncovering The Spatio-Temporal Impact Of The Covid-19 Pandemic On Shared E-Scooter Usage: A Spatial Panel Model, Farzana Mehzabin Tuli, Arna Nishita Nithila, Suman Mitra

Civil Engineering Faculty Publications and Presentations

This study examines the spatio-temporal effects of the COVID-19 pandemic on shared e-scooter usage by leveraging two years (2019 and 2020) of daily shared micromobility data from Austin, Texas. We employed a series of random effects spatial-autoregressive model with a spatially autocorrelated error (SAC) to examine the differences and similarities in determinants of e-scooter usage during regular and pandemic periods and to identify factors contributing to the changes in e-scooter use during the Pandemic. Model results provided strong evidence of spatial autocorrelation in the e-scooter trip data and found a spatial negative spillover effect in the 2020 model. The key …

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Swing With Me, Daniel Kyle Jul 2023

Swing With Me, Daniel Kyle

IPS/BAS 495 Undergraduate Capstone Projects

This is my Capstone Project for IPS introducing my business plan for Swing with Me, a country swing dance business me and my girlfriend Chelsea are going to start here in Ontario!

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How To Best Retrain A Neural Network If We Added One More Input Variable, Saeid Tizpaz-Niari, Vladik Kreinovich Jul 2023

How To Best Retrain A Neural Network If We Added One More Input Variable, Saeid Tizpaz-Niari, Vladik Kreinovich

Departmental Technical Reports (CS)

Often, once we have trained a neural network to estimate the value of a quantity y based on the available values of inputs x1, ..., xn, we learn to measure the values of an additional quantity that have some influence on y. In such situations, it is desirable to re-train the neural network, so that it will be able to take this extra value into account. A straightforward idea is to add a new input to the first layer and to update all the weights based on the patterns that include the values of the new input. The problem with …

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Effects Of Preservation By Ethanol On Δ13C And Δ15N Of Three Tissues Of The Critically Endangered European Eel Anguilla Anguilla, Rose M. Boardman, Adrian C. Pinder, Adam T. Piper, Roberts C Gutmann, Rosalind M. Wright, John Robert Britton Jul 2023

Effects Of Preservation By Ethanol On Δ13C And Δ15N Of Three Tissues Of The Critically Endangered European Eel Anguilla Anguilla, Rose M. Boardman, Adrian C. Pinder, Adam T. Piper, Roberts C Gutmann, Rosalind M. Wright, John Robert Britton

More Faculty of Science and Engineering Research

The temporal effects of ethanol preservation on the δ13C and δ15N values of tissues excised from European eel Anguilla anguilla were assessed. Preservation significantly enriched 13C values of fin and mucus but not dorsal muscle. The 13C enrichment occurred in the initial 15 days of preservation and was independent of initial eel mass. Tissue preservation effects on δ15N values were negligible. These tissue-specific isotopic shifts should be considered when ethanol-preserved eel samples are used.

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Optimizing Reliability Of Flow Networks Using Rwga Subject To Total Capacity Constraint, S. Alkhalaf, H. S. Ahmed, M. E. Hussein, M. R. Hassan, A. Mikhaylov, E. Mahmoud Jul 2023

Optimizing Reliability Of Flow Networks Using Rwga Subject To Total Capacity Constraint, S. Alkhalaf, H. S. Ahmed, M. E. Hussein, M. R. Hassan, A. Mikhaylov, E. Mahmoud

Applied Mathematics & Information Sciences

The study of capacity assignment problem for multistate network is an essential and helps in finding the best set of assigned capacities with maximum system reliability. Analyzing the network structure with respect to the system reliability helps in determining the critical nodes. Sufficient capacity should be assigned for each node in the flow network to keep the network operating normally in the case of failure due to maintenance at one or more nodes. Capacity assignment problem aims to decrease the number of critical nodes by searching for the minimum capacity with considering system reliability constraint, it is known as NP-hard …

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Deep Transfer Learning And Image Segmentation For Fruit Recognition, Ahmad Odat, Mohammad Alodat Jul 2023

Deep Transfer Learning And Image Segmentation For Fruit Recognition, Ahmad Odat, Mohammad Alodat

Applied Mathematics & Information Sciences

This paper is structured in such a way that you can able to develop the fruit recognition web app from scratch with Machine Learning & Flask. The primary objective of this research is to identify plant products in order to estimate their pricing without having to rely on recollection to enabling retail market administration and enhancing the shopping experience for customers. Methods and techniques used in this research was machine learning, deep learning, data analysis, processing, and interpretation, depending on Experimental Methods, Survey Research, Meta-Analysis, and Data Mining to provide a comprehensive and robust analysis of the data. Convolutional neural …

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Binary Classification With Supervised Machine Learning: A Comparative Analysis, Yassine El Aachab, Mohammed Kaicer, Youness Jouilil Jul 2023

Binary Classification With Supervised Machine Learning: A Comparative Analysis, Yassine El Aachab, Mohammed Kaicer, Youness Jouilil

Applied Mathematics & Information Sciences

Over the past decade, Machine Learning has become a practical approach for simulating and examining social issues, notably poverty, education, and health diseases. This study compares the performance of various machine learning methods especially Support Vector Machines (SVM), Decision Trees (DT), and Logistic Regression (LR) in predicting poverty status. For this purpose, the present contribution employs a micro dataset which has been extracted from the National Survey on Household Consumption and Expenditure 2013/2014. Several evaluation metrics such as accuracy, precision, Cohen’s Kappa statistic, F1-score, and recall are used to evaluate the models’ outputs. The R results indicate that the three …

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New Perspectives On Predicting Economic Growth In The Presence Of Multicollinearity And Outliers, A. Ebiwonjumi, R. Chifurira, K. Chinhamu Jul 2023

New Perspectives On Predicting Economic Growth In The Presence Of Multicollinearity And Outliers, A. Ebiwonjumi, R. Chifurira, K. Chinhamu

Applied Mathematics & Information Sciences

Nigeria’s economic growth is a tremendous concern to policymakers, economics and scholars because of the inherent challenges of economic characteristics, consequences and contradictions. The Central Bank of Nigeria has implemented several policies such as tightening of monetary policy rate and heavy borrowing for infrastructural development to stimulate economic growth in the past few years. The prediction of economic growth from economic variables poses a challenge due to collinearity among the economic variables. In this study, we predict Nigerian economic growth using internal and external debt, interest and exchange rate as well as trade openness in the presence of multicollinearity and …

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On A Generalized Fractional Integral And Related Methodological Remarks, Miguel Vivas-Cortez, Juan E. Na ́Poles Valde ́S, Shilpi Jain, Praveen Agarwal Jul 2023

On A Generalized Fractional Integral And Related Methodological Remarks, Miguel Vivas-Cortez, Juan E. Na ́Poles Valde ́S, Shilpi Jain, Praveen Agarwal

Applied Mathematics & Information Sciences

In this paper, we define a generalized fractional integral of order α which are the natural extension of the newly defined k-fractional conformable integrals and they can be reduced to other fractional integrals. Later, the existence of such k-generalized integrals is proved. Finally, discuses some future possibilities.

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Certain Integral Inequalities Associated With The Strongly Harmonic H−Convex Functions, Miguel Vivas-Cortez, Praveen Agarwal, Jorge E. Herna ́Ndez H., Shaher Momani Jul 2023

Certain Integral Inequalities Associated With The Strongly Harmonic H−Convex Functions, Miguel Vivas-Cortez, Praveen Agarwal, Jorge E. Herna ́Ndez H., Shaher Momani

Applied Mathematics & Information Sciences

We study the concept of strongly harmonically h-convex functions and some examples and properties of them. Here, we develop few inequalities for this new class of functions, specifically these inequalities are: Hermite-Hadamard and Fejer. In addition, we establish some applications of our results to special media of non zero and non negative real numbers.

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