Digital Commons Network^™

Lmo2 Expression Is Frequent In T-Lymphoblastic Leukemia And Correlates With Survival, Regardless Of T-Cell Stage, Kerri-Ann Latchmansingh, Xiaoqiong Wang, Ramiro E Verdun, Mario L Marques-Piubelli, Francisco Vega, M James You, Jennifer Chapman, Izidore S Lossos

Faculty, Staff and Student Publications

T- lymphoblastic leukemia/lymphoma (T-LL) is an aggressive malignancy of immature T-cells with poor overall survival (OS) and in need of new therapies. LIM-domain only 2 (LMO2) is a critical regulator of hematopoietic cell development that can be overexpressed in T-LL due to chromosomal abnormalities. Deregulated LMO2 expression contributes to T-LL development by inducing block of T-cell differentiation and continuous thymocyte self-renewal. However, LMO2 expression and its biologic significance in T-LL remain largely unknown. We analyzed LMO2 expression in 100 initial and follow-up biopsies of T-LL from 67 patients, including 31 (46%) early precursor T-cell (ETP)-ALL, 26 (39%) cortical and 10 …

High Prevalence Of Osteopathy In Chronic Pancreatitis: A Cross-Sectional Analysis From The Proceed Study, Phil A Hart, Dhiraj Yadav, Liang Li, Savi Appana, William Fisher, Evan Fogel, Chris E Forsmark, Walter G Park, Stephen Pandol, Mark D Topazian, Stephen K Van Den Eden, Santhi Swaroop Vege, David Bradley, Jose Serrano, Darwin L Conwell, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

osteopenia). However, existing literature is mostly limited to retrospective or administrative studies that have not clearly defined the prevalence and risk factors. Our aim was to identify patient- and disease-related associations with osteopathy in a prospective cohort study of CP.

Methods: We studied 282 subjects with definitive CP enrolled in the PROCEED study who had a baseline dual-energy X-ray absorptiometry (DXA) scan. Osteopenia and osteoporosis were defined using the lowest T-scores. Clinical data were collected using standardized case report forms. Comparisons were performed with a multivariate logistic regression model with forward selection to identify risk factors for osteopathy.

Results: The …

An Interdisciplinary Consensus On The Management Of Brain Metastases In Patients With Renal Cell Carcinoma, Elshad Hasanov, Debra Nana Yeboa, Mathew D Tucker, Todd A Swanson, Thomas Hendrix Beckham, Brian Rini, Chibawanye I Ene, Merve Hasanov, Sophie Derks, Marion Smits, Shaan Dudani, Daniel Y C Heng, Priscilla K Brastianos, Axel Bex, Sahin Hanalioglu, Jeffrey S Weinberg, Laure Hirsch, Maria I Carlo, Ayal Aizer, Paul David Brown, Mehmet Asim Bilen, Eric Lin Chang, Jerry Jaboin, James Brugarolas, Toni K Choueiri, Michael B Atkins, Bradley A Mcgregor, Lia M Halasz, Toral R Patel, Scott G Soltys, David F Mcdermott, James Bradley Elder, Mustafa K Baskaya, James B Yu, Robert Timmerman, Michelle Miran Kim, Melike Mut, James Markert, Kathryn Beal, Nizar M Tannir, George Samandouras, Frederick F Lang, Rachel Giles, Eric Jonasch

Faculty, Staff and Student Publications

Brain metastases are a challenging manifestation of renal cell carcinoma. We have a limited understanding of brain metastasis tumor and immune biology, drivers of resistance to systemic treatment, and their overall poor prognosis. Current data support a multimodal treatment strategy with radiation treatment and/or surgery. Nonetheless, the optimal approach for the management of brain metastases from renal cell carcinoma remains unclear. To improve patient care, the authors sought to standardize practical management strategies. They performed an unstructured literature review and elaborated on the current management strategies through an international group of experts from different disciplines assembled via the network of …

Auto-Detection And Segmentation Of Involved Lymph Nodes In Hpv-Associated Oropharyngeal Cancer Using A Convolutional Deep Learning Neural Network, Nicolette Taku, Kareem A Wahid, Lisanne V Van Dijk, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

PURPOSE: Segmentation of involved lymph nodes on head and neck computed tomography (HN-CT) scans is necessary for the radiotherapy planning of early-stage human papilloma virus (HPV) associated oropharynx cancers (OPC). We aimed to train a deep learning convolutional neural network (DL-CNN) to segment involved lymph nodes on HN-CT scans.

METHODS: Ground-truth segmentation of involved nodes was performed on pre-surgical HN-CT scans for 90 patients who underwent levels II-IV neck dissection for node-positive HPV-OPC (training/validation [n = 70] and testing [n = 20]). A 5-fold cross validation approach was used to train 5 DL-CNN sub-models based on a residual U-net architecture. …

Legacy Refworks Will Be Retired September 30, 2022, Joanne Romano

TMC Library Newsletter (2015-)

The Texas Medical Center Library will be retiring user accounts in the Legacy version of RefWorks on September 30, 2022.

New One Button Recording Studio, Katie Prentice

TMC Library Newsletter (2015-)

For more information consult the One Button Studio page.

Jove Videos For Science Education And Research — Now Available, Joanne Romano

TMC Library Newsletter (2015-)

The Texas Medical Center Library now subscribes to all JoVE videos for both Research and Education. JoVE’s 15,000+ instructional videos combine high-impact animations with real-life experimentation to help accelerate learning and allow you to refresh skill sets independently. Content can be accessed 24/7 and translations are included.

Schwann Cells Induce Phenotypic Changes In Oral Cancer Cells, Maria Daniela Santi, Morgan Zhang, Elizabeth Salvo, Kesava Asam, Chi T Viet, Tongxin Xie, Moran Amit, Bradley Aouizerat, Yi Ye

Faculty, Staff and Student Publications

Head and neck cancer (HNC) is the seventh most common cancer worldwide, the majority being oral squamous cell carcinoma. Despite advances in cancer diagnosis and treatment, the survival rate of patients with HNC remains stagnant. The cancer-nerve interaction has been recognized as an important driver of cancer progression. Schwann cells, a type of peripheral glia, have been implicated in promoting cancer cell growth, migration, dispersion, and invasion into the nerve in many cancers. Here, it is demonstrated that the presence of Schwann cells makes oral cancer cells more aggressive by promoting their proliferation, extracellular matrix breakdown, and altering cell metabolism. …

Executive Summaries

The Foundation Review

No abstract provided.

Media Relations Strategies Of Philanthropic Foundations: A Longitudinal Analysis Of News Releases Produced By Top U.S. Foundations, Richard D. Waters, Giselle Auger, Kelly Husted

The Foundation Review

Given their role in funding programs and services provided by nonprofit organizations, foundations have a critical role as advocates for social change. However, grant money is by itself not enough to create that change. Agenda-setting theory highlights the critical role of organizations in bringing change issues to the attention of the media and, therefore, the public. This article uses content analysis to compare two sets of a random sample of news releases from 20 of the largest foundations in the United States. The two sets are seven years apart, from 2014 and 2021, to allow comparison of the maturation of …

Book Review: In Defence Of Philanthropy, Nabih Haddad

The Foundation Review

No abstract provided.

Microrna-205 In Prostate Cancer: Overview To Clinical Translation, Neeraj Chauhan, Anjali Manojkumar, Meena Jaggi, Subhash C. Chauhan, Murali M. Yallapu

School of Medicine Publications

Prostate cancer (PrCa) is one of the most common types of cancer among men in the United States. The metastatic and advanced PrCa develops drug resistance to current regimens which accounts for the poor management. microRNAs (miRNAs) have been well-documented for their diagnostic, prognostic, and therapeutic roles in various human cancers. Recent literature confirmed that microRNA-205 (miR-205) has been established as one of the tumor suppressors in PrCa. miR-205 regulates number of cellular functions, such as proliferation, invasion, migration/metastasis, and apoptosis. It is also evident that miR-205 can serve as a key biomarker in diagnostic, prognostic, and therapy of PrCa. …

Concrete Dust Versus Angel's Wings? Sacralization Of The “Victory Monument” And Postcolonial Memory Politics In Latvia, Deniss Hanovs

Occasional Papers on Religion in Eastern Europe

The article analyzes the current state of memory politics in Latvian society in the frame of Baltic postcolonial studies. The dominant traumatic experience of contemporary Latvian society is the period of Soviet occupation (1940, renewed 1944, lasting until 1991) and WWII. The so-called “Monument of Victory” in Riga was the central site of memory, loaded with mnemonic tension and ambiguity of collective memories of the Russian-speakers in the restored nation state. After it was toppled on August 25, 2022, the monument continues to exist in Russian-speakers’ digital imagination and is framed by the semiotics of a sacred site of memory. …

The Orthodox Theology Of Modernity: Problem Statement And Prospective Tasks, Hennadii Khrystokin, Vasyl Lozovytskyi

Occasional Papers on Religion in Eastern Europe

The article studies the problem of Orthodoxy's attitude to modernity. The concept of the theology of modernity–a new section of the social theology of the church, which considers the specifics, main trends, problems, and tendencies of modernity–is proposed. The theology of modernity raises questions about the possibilities, boundaries, and ways of renewal of the church. The concept of the theology of modernity is a set of methods, approaches, and discourses that allow us to comprehend modernity, carry out its assessment by means of Orthodox theology, and find its religious potential for the actualization of Christianity in our time. The analysis …

Everything I Know About The Bond Market I Learned From Litwin V.Allen An Essay (In Two Parts) For Ralph Winter, Richard A. Booth

Faculty Publications

This essay focuses on the classic 1940 case Litwin v. Allen, 25 N.Y.S.2d 667 (N.Y. Sup. Ct. 1940), in which the court ruled that directors and officers of a bank were liable for losses suffered by the bank from a transaction in which the bank bought a bond at a discounted price subject to an option permitting the seller to buy it back at the same price (up to) six months later. The price of the bond fell dramatically during the option period, the seller declined to buy it back, and the bank was left with the loss. The court …

The Boy Of Summer: The Art And Anger Of Roger Kahn, Mitchell Nathanson

Faculty Publications

No abstract provided.

Acid Mine Drainage In The Shamokin Creek Watershed: A Spatial Analysis Of Economic And Environmental Consequences Of Coal Mining, Ben Shimer

Student Project Reports

No abstract provided.

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

World Guidelines For Falls Prevention And Management For Older Adults: A Global Initiative, Manuel Montero-Odasso, Susan Stark, Et Al.

2020-Current year OA Pubs

No abstract provided.

Exposure Contrasts Of Pregnant Women During The Household Air Pollution Intervention Network Randomized Controlled Trial, Michael Johnson, Lindsay J Underhill, Et Al.

2020-Current year OA Pubs

BACKGROUND: Exposure to

OBJECTIVES: This paper reports exposure reductions achieved by a liquified petroleum gas (LPG) stove and fuel intervention for pregnant mothers in the Household Air Pollution Intervention Network (HAPIN) randomized controlled trial.

METHODS: The HAPIN trial included 3,195 households primarily using biomass for cooking in Guatemala, India, Peru, and Rwanda. Twenty-four-hour exposures to

RESULTS: Median postrandomization exposures of particulate matter (PM) with aerodynamic diameter

DISCUSSION: Postintervention

The Nepenthesin Insert In The Plasmodium Falciparum Aspartic Protease Plasmepsin V Is Necessary For Enzyme Function, Alexander J Polino, Justin J Miller, Soumendranath Bhakat, Sumit Mukherjee, Suhas Bobba, Gregory R Bowman, Daniel E Goldberg

2020-Current year OA Pubs

Plasmepsin V (PM V) is a pepsin-like aspartic protease essential for growth of the malarial parasite Plasmodium falciparum. Previous work has shown PM V to be an endoplasmic reticulum-resident protease that processes parasite proteins destined for export into the host cell. Depletion or inhibition of the enzyme is lethal during asexual replication within red blood cells as well as during the formation of sexual stage gametocytes. The structure of the Plasmodium vivax PM V has been characterized by X-ray crystallography, revealing a canonical pepsin fold punctuated by structural features uncommon to secretory aspartic proteases; however, the function of this unique …

A Systematic Review Of Recent And Ongoing Clinical Trials In Patients With The Neurofibromatoses, Simge Acar, Edwin Nieblas-Bedolla, Amy E Armstrong, Angela C Hirbe

2020-Current year OA Pubs

INTRODUCTION: The neurofibromatoses comprise three different genetic conditions causing considerable morbidity and mortality: neurofibromatosis type 1 (NF1), neurofibromatosis type 2 (NF2), and schwannomatosis (SWN). This review summarizes recent and ongoing clinical trials involving patients with neurofibromatoses to better understand the current state of clinical trial research centered around these conditions and inform areas of need.

METHODS: A search was conducted using the Cochrane Central Register of Controlled Trials and clinicaltrials.gov databases. Inclusion and exclusion criteria were designed to identify clinical trials focused on patients with NF1, NF2, or SWN completed in or after 2010 and in process as of December …

An Efficient Electronic Payment Using Biometric Authentication, Ahmed A. Talib, Aymen D.

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Traditional identification techniques for electronic payments, such as the Personal Identification Number (PIN), are becoming outdated and unsafe, while mobile payments are becoming more popular and widely used. It presents a risk to Issuers since there is no reliable consumer verification method available, and the lack of safe and reliable e-payment systems is one of the key Issues restricting progress. As a result, efforts have been made to develop and maintain a unified payment system that is well-organized, efficient, dependable, and secure. This system avoids the need for physical cash while also still satisfying all payment and identification requirements, a …

Robust Sensor Fault Estimation For Control Systems Affected By Friction Force, Ruaa Hameed Ahmed, Montadher Sami

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The paper presents an observer-based estimation of sensor fault for control systems affected by friction force. In such systems, the non-linearity of friction force leads to deteriorating sensor fault estimation capability of the observer. Hence, the challenge is to design an observer capable of attaining robust sensor fault estimation while avoiding the effects of friction. To overcome the highlighted challenge, an Unknown Input Observer (UIO) is designed to decouple the effects of friction as well as to estimate the state and sensor fault.The benefit of proposing UIO is to guarantee robust sensor fault estimation despite the highly non-linear disturbance in …

Rcae_Bfv: Retrieve Encrypted Images Using Convolution Autoencoder And Bfv, Emad M. Alsaedi, Alaa Kadhim

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Content-Based Image Retrieval (CBIR) is an actual application in computer vision, which retrieves similar images from a database. Deep Learning (DL) is essential in many applications, including image retrieval applications. However, encryption techniques are used to protect data privacy because these data are vulnerable to being viewed by unauthorized parties while being transmitted over unsecured channels. This paper includes two parts for images retrieval. In the first part, features of all images of a Canadian Institute for Advanced Research CIFAR-10 dataset were extracted and stored on the Server-side. In the second part, the Brakerski/Fan-Vercauteren (BFV) homomorphic encryption scheme method for …

Intelligent Parameter Tuning Using Deep Q-Network In Adaptive Queue Management Systems, Ayman Basheer Yousif, Hassan Jaleel, Ghaida Muttasher

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Network traffic has risen in recent years to the point that it is obviously and astonishingly in 2020, with the increase predicted to double in the following days. Up to 23 Teraa bit every month is an incredible amount. The Active Queue Management (AQM) algorithm is one of the most significant study areas in network congestion control; nevertheless, new self-learning network management algorithms are needed on nodes to cope with the huge quantity of traffic and minimize queuing latency, used reinforcement learning for automatic adaptive parameter with the AQM algorithm for effective network management, and present a novel AQM algorithm …

Hybridized Dimensionality Reduction Method For Machine Learning Based Web Pages Classification, Thabit Sulaiman Sabbah

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Feature space high dimensionality is a well-known problem in text classification and web mining domains, it is caused mainly by the large number of vocabularies contained within web documents. Several methods were applied to select the most useful and important features over the years; however, the performance of such methods is still improvable from different aspects such as the computational cost and accuracy. This research presents an enhanced cosine similarity-based hybridization of two efficient feature selection methods for higher classification performance. The reduced feature sets are generated using the Random Projection (RP) and the Principal Component Analysis (PCA) methods, individually, …

Unmasking Deepfakes Based On Deep Learning And Noise Residuals, Wildan J. Hadi, Suhad M., Ayad R. Abbas

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The main reason for the emergence of a deepfake (deep learning and fake) term is the eVolution in artificial intelligence techniques, especially deep learning. Deep learning algorithms, which auto-solve problems when giving large sets of data, are used to swap faces in digital media to create fake media with a realistic appearance. To increase the accuracy of distinguishing a real video from fake one, a new model has been developed based on deep learning and noise residuals. By using Steganalysis Rich Model (SRM) filters, we can gather a low-level noise map that is used as input to a light ConVolution …

Automatic Quality Of Experience Measuring For Video Conference In Real-Time, Roaa E. Alhassany, Rana F.

Iraqi Journal of Computers, Communications, Control and Systems Engineering

In recent years, especially with COVID-19, video conference applications have become very important. Millions of peoples around the world have become to communicate with each other through using video conference applications. The most critical factor in the performance success of video conference applications is the user's perception of the quality of the experience. In this work, an Extreme Learning Machine (ELM) model was proposed for predicting video quality of experience. The proposed system extracts several features from videos that have a significant impact on the quality of the experience. The model performance was validated with unseen data. Spearman’s Rank Correlation …

Optimizing Artificial Neural Networks Using Levychaotic Mapping On Wolf Pack Optimization Algorithm For Detect Driving Sleepiness, Sarah Saadoon Jasim, Alia Karim, Scott Turner

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Artificial Neural Networks (ANNs) are utilized to solve a variety of problems in many domains. In this type of network, training and selecting parameters that define networks architecture play an important role in enhancing the accuracy of the network's output; Therefore, Prior to training, those parameters must be optimized. Grey Wolf Optimizer (GWO) has been considered one of the efficient developed approaches in the Swarm Intelligence area that is used to solve real-world optimization problems. However, GWO still faces a problem of the slump in local optimums in some places due to insufficient diversity. This paper proposes a novel algorithm …