Digital Commons Network^™

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 …

The Techniques Of Based Internet Key Exchange (Ike) Protocol To Secure Key Negotiation, Zainab Kareem Mahyob, Raheem Abdulsahib, Suhiar Mohammed Zeki

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The Internet is a massive network that connects millions of users from all over the world and the data transmitted via it needs great protection, especially since that are in the age of big data. To solve part of this problem, IPsec was utilized, which is a set of protocols necessary to offer security to units of the Internet in general and the IP layer in particular. It is mostly based on major exchange protocols. The most frequent mechanism for transferring key materials and establishing security linkages between two entities is Internet Key Exchange (IKE). In the present work, it …

A Convolutional Neural Network For Detecting Covid-19 From Chest X-Ray Images, Basma Wael Abdullah, Hanaa Mohsin

Iraqi Journal of Computers, Communications, Control and Systems Engineering

since the global pandemic of COVID-19 has spread out, the use of Artificial Intelligence to analyze Chest X-Ray (CXR) image for COVID-19 diagnosis and patient treatment is becoming more important. This research hypothesized that using COVID19 radiographic changes in the X-Ray images. Artificial Intelligence (AI) systems may extract certain graphical elements regarding COVID-19 and offer a clinical diagnosis ahead of pathogenic test; therefore, saving vital time for disease prevention. Employing 2614 CXR radiographs from Kaggle data collection of verified COVID-19 cases and healthy persons, a new ConVolutional Neural Network (CNN) model that is inspired by the Xception architecture was presented …

Meerkat Clan-Based Feature Selection In Random Forest Algorithm For Iot Intrusion Detection, Adil Yousef Hussein, Ahmed T.

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Hackers can conduct more destructive cyber-attacks thanks to the rapid spread of Internet of Things (IoT) devices, posing significant security risks for users. Through a malicious process, the attacker intended to exhaust the capital of the target IoT network. Researchers and company owners are concerned about the reliability of IoT networks, which is taken into account because it has a significant impact on the delivery of facilities provided by IoT systems and the security of user groups. The intrusion prevention system ensures that the network is protected by detecting malicious activity. In this paper, the focus is on predicting attacks …

Collision Prediction Based On Vehicular Communication System, Abdulqader Falhi Jabbar, Rana Fareed, Asia Ali Salman

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Road traffic accidents are one of the leading causes of mortality globally. Reducing the number of traffic-related incidents has become a serious socio-economic and public health problem, given the ever-increasing number of cars on the road. As a result, this paper proposes an intelligent vehicle prediction communication mechanism that alerts drivers to any autos that may be overtaking or bypassing the targeted vehicle. The primary goal of this paper is to leverage modern Internet of Things (IoT) and wireless sensor technologies to predict any potential accident that may occur as a result of car accidents. This paper proposes the Collision …

A Framework For Predicting Airfare Prices Using Machine Learning, Heba Mohammed Fadhil, Mohammed Najm, Mohammed Issam Younis

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Many academics have concentrated on applying machine learning to retrieve information from databases to enable researchers to perform better. A difficult Issue in prediction models is the selection of practical strategies that yield satisfactory forecast accuracy. Traditional software testing techniques have been extended to testing machine learning systems; however, they are insufficient for the latter because of the diversity of problems that machine learning systems create. Hence, the proposed methodologies were used to predict flight prices. A variety of artificial intelligence algorithms are used to attain the required, such as Bayesian modeling techniques such as Stochastic Gradient Descent (SGD), Adaptive …

Snow3g Modified By Using Pll Algorithms In Magic Cube, Rana Mohammed Zaki, Hala Bahjat

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Thomas and Patrik are working on a stream cipher called SNOW 3G. In 2006, it was chosen as the centerpiece of a new set of confidentiality and integrity algorithms for the Universal Mobile Telecommunications System (UMTS). In 2008, Böhm published an article named "Statistical Evaluation of Stream Cipher SNOW 3G." He put the randomness of the SNOW 3G key stream generator to the test. As a randomness test tool, Böhm uses the NIST test statistics package, which consists of three kinds of tests: lengthy key stream data, short key stream data, and initialization vector data. Only the short key stream …

Advancing Philanthropic Strategy Through Evaluative Thinking: One Foundation’S Approach, Christine Baker, Margaret Eigsti, Kathryn Racine, Laurence O’Connell

The Foundation Review

The Sisters of Charity Foundation of Cleveland supports Catholic sisters and their ministries in northeast Ohio through the grantmaking, partnership, capacitybuilding, and evaluation efforts of its Catholic Sisters Program Area. The decline of sisters actively engaged in ministry, due both to their rising median age and a decades-long decline in their overall numbers, called for a reconsideration and likely revision of the CSPA existing theory of change.

Unlike other strategic approaches at the foundation, such as ending homelessness or improving health equity, transitioning from sister-led to lay-led leadership of ministries remained largely unexplored: Basic research was lacking, and model practices …

Engaging Community To Build A Community Dashboard, Tanya Upthegrove Gregory, Liz Gordillo

The Foundation Review

The Ruth Mott Foundation’s mission is to advocate, stimulate, and support community vitality in our community of Flint, Michigan. The goal of the foundation’s 2016–2025 strategic plan is that residents of north Flint neighborhoods create and sustain opportunities to contribute and thrive. As a place-based grantmaker, the foundation uses community-level data internally to establish baseline data. Those data, in combination with local relationships and knowledge of other community initiatives, guide the foundation’s grantmaking strategy in the community’s context and assist with data-driven decision-making. Externally, the dashboard supports community engagement through access to local data. The foundation partnered with the Dorothy …

Front Matter

The Foundation Review

No abstract provided.

The Yin And Yang Of Equity-Centered Philanthropy, Douglas Easterling, Laura Mcduffee, Sabina Gesell

The Foundation Review

Foundations face two competing imperatives when they commit to advancing equity. On the one hand, they are counseled to support and follow the lead of community-based groups that are on the front lines of social change. On the other hand, they are also being challenged to use their power and influence to act boldly to change inequitable structures, policies, and institutions. These two orientations, yin and yang, can take a foundation in different directions and thus cause confusion and internal conflict.

The challenge for a foundation is to balance and integrate the two orientations into a comprehensive and effective approach …

Learning As We Go: How Emergent Process Supports Sustainable Community And Philanthropic Change, Elizabeth Myrick, Rachel Mosher-Williams, Laurie Zierer

The Foundation Review

Beginning in 2014, PA Humanities, one of 56 state and territorial humanities councils across the country, drew upon the work of Orton Family Foundation to deploy the Community Heart & Soul method, which centers community planning and civic engagement around connecting people to each other, and to the many assets of the places they live, through individual storytelling and collective narrative building.

Between 2015 and 2018, PA Humanities awarded matching grants to three locations in Pennsylvania — Greater Carlisle, Meadville, and Williamsport — to pilot PA Heart & Soul, a humanities-based, resident-driven community planning process that cultivates a shared sense …