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

Digital Commons Network™

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

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 17731 - 17760 of 1105653

Full-Text Articles in Entire DC Network

A Model Of International Student Retention, Dylan Rust Apr 2026

A Model Of International Student Retention, Dylan Rust

Journal of Comparative & International Higher Education

This paper presents a model of international student retention influences that affect these students’ decisions to remain at a university in the United States. The levels of the model, in order of importance, are intentions/background characteristics and finances, academic integration, cultural identity, and social integration. Intentions/background characteristics and finances are related to and influence each other in terms of their impact on retention. While multiple retention theories focus on the socialization of college students, this model posits that financial and academic factors have greater influence. The paper also discusses the influence that being a non-immigrant visa status international student has …

Go to article

Service Abroad: Developing Human Connections And Global Citizenship, Anna Zak Apr 2026

Service Abroad: Developing Human Connections And Global Citizenship, Anna Zak

Journal of Comparative & International Higher Education

This grounded theory investigation theorizes how service abroad programs can promote global citizenship development among university students. The analysis of interviews, annotated artifacts, and class assignments delineates the theory that participation in service abroad provides opportunities to form connections to the host community and empathize with people who are different, thereby promoting personal paradigm shifts from caring about the self to caring about the collective. Service offers an entry point into a host community that enables students to embrace a wider global perspective, form a better understanding of social justice, experience profound personal growth, as well as develop human connections …

Go to article

Examining The Use And Perceived Benefits Of Artificial Intelligence Tools In Higher Education: Student Perspectives, Musa Pinar, Haydar Cukurtepe, Aysegul Yayimli, Faruk Guder Apr 2026

Examining The Use And Perceived Benefits Of Artificial Intelligence Tools In Higher Education: Student Perspectives, Musa Pinar, Haydar Cukurtepe, Aysegul Yayimli, Faruk Guder

Atlantic Marketing Association Proceedings

No abstract provided.

Go to article

Toward Aligning Incentives To Improve Business Research And Education Outcomes: A Supply Chain Perspective, Benjamin T. Hazen, John Dickens, Douglas Lambert, Michael Gorman, Matthew Roberts, Timothy Hawkins Apr 2026

Toward Aligning Incentives To Improve Business Research And Education Outcomes: A Supply Chain Perspective, Benjamin T. Hazen, John Dickens, Douglas Lambert, Michael Gorman, Matthew Roberts, Timothy Hawkins

Atlantic Marketing Association Proceedings

No abstract provided.

Go to article

Illuminating Key Teamwork Skills With Case Studies To Increase Student Satisfaction, Kelly Green Atkins, Michelle S. Freeman Apr 2026

Illuminating Key Teamwork Skills With Case Studies To Increase Student Satisfaction, Kelly Green Atkins, Michelle S. Freeman

Atlantic Marketing Association Proceedings

No abstract provided.

Go to article

Addressing The Genai Proficiency Gap In Marketing Education: A Multi-Dimensional Assessment Framework, Denny Mccorkle, Memo Diriker, James Reardon Apr 2026

Addressing The Genai Proficiency Gap In Marketing Education: A Multi-Dimensional Assessment Framework, Denny Mccorkle, Memo Diriker, James Reardon

Atlantic Marketing Association Proceedings

No abstract provided.

Go to article

Optimizing Project Management Workflows With Ai-Driven Task Automation, Kamrunnahar Happy, Ismet Anitsal, Melek Meral Anitsal Apr 2026

Optimizing Project Management Workflows With Ai-Driven Task Automation, Kamrunnahar Happy, Ismet Anitsal, Melek Meral Anitsal

Atlantic Marketing Association Proceedings

No abstract provided.

Go to article

No Hablo Español, But My Students Do: A Self-Study To Understanding How Teacher Positionality And Experiences Manifest In Pedagogy And Praxis, Kaitlyn E. Herling Apr 2026

No Hablo Español, But My Students Do: A Self-Study To Understanding How Teacher Positionality And Experiences Manifest In Pedagogy And Praxis, Kaitlyn E. Herling

Education Doctorate Dissertations

As a middle school science teacher in a predominantly Hispanic classroom, I explore how my positionality as a White female educator and my experiences both inside and outside the classroom shape my teaching practices. This study examines the integration of culturally based teaching practices into the science classroom. By reflecting on my positionality, curriculum choices, and pedagogical methods, I aim to better understand how to create a more inclusive and engaging learning environment that resonates with my students’ cultural backgrounds. Through self-study and narrative inquiry, this research highlights the importance of connecting students’ lived experiences with academic content to foster …

Go to article

Sex-Based Effects Of Shock Energy Exposure In Warfighters, Melissa Sutter, Catherine Johnson Apr 2026

Sex-Based Effects Of Shock Energy Exposure In Warfighters, Melissa Sutter, Catherine Johnson

Mining Engineering Faculty Research & Creative Works

Personal armors were initially designed to fit against the male torso, as men previously filled roles requiring them, thus not made to accommodate the female anatomy. As a result, armor worn by female warfighters tends to have non-form fit in the waist, armpit, bust, and collarbone areas, causing reduced coverage. Shifting, riding up, air gaps, breathing difficulty, and physical discomfort have also been observed. Although this has been documented, the impact on the armor's protective capabilities has not been well studied. To address this, this study compared the protective capabilities of unisex armor for male and female warfighters from shock …

Go to article

Preliminary Sonification Of Enso Using Traditional Javanese Gamelan Scales, Sandy Hs Herho, Rusmawan Suwarman, Nurjanna J. Trilaksono, Iwan P. Anwar, Faiz R. Fajary Apr 2026

Preliminary Sonification Of Enso Using Traditional Javanese Gamelan Scales, Sandy Hs Herho, Rusmawan Suwarman, Nurjanna J. Trilaksono, Iwan P. Anwar, Faiz R. Fajary

Northeast Journal of Complex Systems (NEJCS)

Sonification—the mapping of data to non-speech audio—offers an underexplored channel for representing complex dynamical systems. We treat El Niño-Southern Oscillation (ENSO), a canonical example of low-dimensional climate chaos, as a test case for culturally-situated sonification evaluated through complex systems diagnostics. Using parameter-mapping sonification of the Niño 3.4 sea surface temperature anomaly index (1870–2024), we encode ENSO variability into two traditional Javanese gamelan pentatonic systems (pelog and slendro) across four composition strategies, then analyze the resulting audio as trajectories in a two- dimensional acoustic phase space. Recurrence-based diagnostics, convex hull ge- ometry, and coupling analysis reveal that the sonification …

Go to article

Reducing Systemic Bias In Behavioral Targeting Using Explainable Ai: The Harmonia Complex Systems Approach, Ruchira Deokar, Preethi Nanjundan, Jossy P. George, Carlos Gershenson Apr 2026

Reducing Systemic Bias In Behavioral Targeting Using Explainable Ai: The Harmonia Complex Systems Approach, Ruchira Deokar, Preethi Nanjundan, Jossy P. George, Carlos Gershenson

Northeast Journal of Complex Systems (NEJCS)

Behavioral targeting is a key part of the modern advertising web's algorithmic engine. However, it is unclear whether optimization processes worsen bias, promote unchecked spread in filter bubbles or lower overall users' trust levels. This paper introduces HARMONIA (Holistic Adaptive Regulatory Model for Optimizing Non-transparent Intelligent Advertising), a comprehensive, data-driven Explainable Artificial Intelligence (XAI) framework aimed at transforming behavioral targeting via transparency, interpretability, and adaptive ethical regulation. This paper conducted a comprehensive Explorative Data Analysis (EDA) on the public Criteo Display Advertising Dataset, which contains over 45 million records, to identify patterns in high-dimensional user-ad interaction space. This analysis uncovered …

Go to article

Relation Between Swelling Potential And Swelling Pressure For Different Types Of Expansive Clay Of New Cairo, Sherouk Hany Mohamed, Amr Radwan, Mohammed Rabie, Hussein Mostafa Apr 2026

Relation Between Swelling Potential And Swelling Pressure For Different Types Of Expansive Clay Of New Cairo, Sherouk Hany Mohamed, Amr Radwan, Mohammed Rabie, Hussein Mostafa

HBRC Journal

The purpose of this paper is to present correlations that may help in predicting swelling pressure (PS) and swelling potential (SP) for expansive clay, which can contribute to solving engineering problems such as cracking, shifting or other structural damage, that may occur, if the behavior of this type of soil is not taken into consideration. Therefore, in this research, five different samples of expansive clay soils were collected from different site locations in New Cairo, Egypt. Then, these samples were dried, pulverized and passed through sieve No. 40 (0.425 mm). The samples were prepared initially at maximum dry …

Go to article

Mondo: Integrating Disease Terminology Across Communities., Nicole A Vasilevsky, Sabrina Toro, Nicolas Matentzoglu, Joseph E Flack, Kathleen R Mullen, Harshad Hegde, Sarah Gehrke, Patricia L Whetzel, Yousif Shwetar, Nomi L Harris, Mee S Ngu, Gioconda L Alyea, Megan S Kane, Paola Roncaglia, Eric Sid, Courtney L Thaxton, Valerie Wood, Roshini S Abraham, Maria Isabel Achatz, Pamela Ajuyah, Joanna S Amberger, Lawrence Babb, Jasmine Baker, James P Balhoff, Jonathan S Berg, Amol Bhalla, Xavier Bofill-De Ros, Ian R Braun, Eleanor C Broeren, Blake K Byer, Alicia B Byrne, Tiffany J Callahan, Leigh Carmody, Lauren E Chan, Amanda R Clause, Julie S Cohen, Marcello Deluca, Natalie T Deuitch, May Flowers, Jamie Fraser, Toyofumi Fujiwara, Vanessa Gitau, Jennifer L Goldstein, Dylan Gration, Tudor Groza, Benjamin M Gyori, William Hankey, Jason A Hilton, Daniel S Himmelstein, Stephanie S Hong, Charles T Hoyt, Robert Huether, Eric Hurwitz, Julius O B Jacobsen, Atsuo Kikuchi, Sebastian Köhler, Daniel R Korn, David Lagorce, Bryan J Laraway, Jane Y Li, Adriana J Malheiro, James Mclaughlin, Birgit H M Meldal, Shruthi Mohan, Sierra A T Moxon, Monica C Munoz-Torres, Tristan H Nelson, Frank W Nicholas, David Ochoa, Daniel Olson, Tudor I Oprea, Tomiko T Oskotsky, David Osumi-Sutherland, Kelley Paris, Helen E Parkinson, Zoë M Pendlington, Xiao P Peng, Amy Pizzino, Sharon E Plon, Bradford C Powell, Julie C Ratliff, Heidi L Rehm, Lyubov Remennik, Erin R Riggs, Sean Roberts, Peter N Robinson, Justyne E Ross, Kevin Schaper, Brian M Schilder, Johanna L Schmidt, Elliott W Sharp, Morgan N Similuk, Damian Smedley, Tam P Sneddon, Rachel Sparks, Ray Stefancsik, Gregory S Stupp, Shilpa Sundar, Terue Takatsuki, Imke Tammen, Kezang C Tshering, Deepak R Unni, Eloise Valasek, Adeline Vanderver, Alex H Wagner, Ryan F Webb, Danielle Welter, Doron Yaya-Stupp, Andreas Zankl, Xingmin Aaron Zhang, Julie A Mcmurry, Christopher G Chute, Ada Hamosh, Christopher J Mungall, Melissa A Haendel Apr 2026

Mondo: Integrating Disease Terminology Across Communities., Nicole A Vasilevsky, Sabrina Toro, Nicolas Matentzoglu, Joseph E Flack, Kathleen R Mullen, Harshad Hegde, Sarah Gehrke, Patricia L Whetzel, Yousif Shwetar, Nomi L Harris, Mee S Ngu, Gioconda L Alyea, Megan S Kane, Paola Roncaglia, Eric Sid, Courtney L Thaxton, Valerie Wood, Roshini S Abraham, Maria Isabel Achatz, Pamela Ajuyah, Joanna S Amberger, Lawrence Babb, Jasmine Baker, James P Balhoff, Jonathan S Berg, Amol Bhalla, Xavier Bofill-De Ros, Ian R Braun, Eleanor C Broeren, Blake K Byer, Alicia B Byrne, Tiffany J Callahan, Leigh Carmody, Lauren E Chan, Amanda R Clause, Julie S Cohen, Marcello Deluca, Natalie T Deuitch, May Flowers, Jamie Fraser, Toyofumi Fujiwara, Vanessa Gitau, Jennifer L Goldstein, Dylan Gration, Tudor Groza, Benjamin M Gyori, William Hankey, Jason A Hilton, Daniel S Himmelstein, Stephanie S Hong, Charles T Hoyt, Robert Huether, Eric Hurwitz, Julius O B Jacobsen, Atsuo Kikuchi, Sebastian Köhler, Daniel R Korn, David Lagorce, Bryan J Laraway, Jane Y Li, Adriana J Malheiro, James Mclaughlin, Birgit H M Meldal, Shruthi Mohan, Sierra A T Moxon, Monica C Munoz-Torres, Tristan H Nelson, Frank W Nicholas, David Ochoa, Daniel Olson, Tudor I Oprea, Tomiko T Oskotsky, David Osumi-Sutherland, Kelley Paris, Helen E Parkinson, Zoë M Pendlington, Xiao P Peng, Amy Pizzino, Sharon E Plon, Bradford C Powell, Julie C Ratliff, Heidi L Rehm, Lyubov Remennik, Erin R Riggs, Sean Roberts, Peter N Robinson, Justyne E Ross, Kevin Schaper, Brian M Schilder, Johanna L Schmidt, Elliott W Sharp, Morgan N Similuk, Damian Smedley, Tam P Sneddon, Rachel Sparks, Ray Stefancsik, Gregory S Stupp, Shilpa Sundar, Terue Takatsuki, Imke Tammen, Kezang C Tshering, Deepak R Unni, Eloise Valasek, Adeline Vanderver, Alex H Wagner, Ryan F Webb, Danielle Welter, Doron Yaya-Stupp, Andreas Zankl, Xingmin Aaron Zhang, Julie A Mcmurry, Christopher G Chute, Ada Hamosh, Christopher J Mungall, Melissa A Haendel

Faculty Research 2026

Precision medicine aims to enhance diagnosis, treatment, and prognosis by integrating multimodal data at the point of care. However, challenges arise due to the vast number of diseases, differing methods of classification, and conflicting terminological coding systems and practices used to represent molecular definitions of disease. This lack of interoperability artificially constrains the potential for diagnosis, clinical decision support, care outcome analysis, as well as data linkage across research domains to support the development or repurposing of therapeutics. There is a clear and pressing need for a unified system for managing disease entities⁠-including identifiers, synonyms, and definitions. To address these …

Go to article

Sex-Specific Differences In Lung Mitochondrial Function And Injury In Rats Exposed To Hyperoxia, Taheri Pardis, Abraham G. Taye, Devanshi D. Dave, Elizabeth R. Jacobs, Guru Prasad Sharma, Anne V. Clough, Ranjan K. Dash, Said H. Audi Apr 2026

Sex-Specific Differences In Lung Mitochondrial Function And Injury In Rats Exposed To Hyperoxia, Taheri Pardis, Abraham G. Taye, Devanshi D. Dave, Elizabeth R. Jacobs, Guru Prasad Sharma, Anne V. Clough, Ranjan K. Dash, Said H. Audi

Mathematical and Statistical Science Faculty Research and Publications

Hyperoxia is both an essential therapy and a contributor to lung injury in acute respiratory distress syndrome. We hypothesized that adult female rats are relatively protected from hyperoxia-induced acute lung injury (HALI) compared with males and that this protection is associated with sex-dependent differences in lung mitochondrial bioenergetics and H2O2 production. Adult rats were exposed to room air (normoxia) or hyperoxia (>95% O2) for up to 60 h. Lung injury was assessed by pleural effusion, lung wet weight, pulmonary vascular filtration coefficient (Kf), histologic injury scores, and cleaved caspase-3 (CC3) staining. …

Go to article

Donor Plans Ahead For Generational Impact, Bill Dabney Apr 2026

Donor Plans Ahead For Generational Impact, Bill Dabney

University of Mississippi News

OXFORD, Miss. – Doug MacEachern, of Covington, Louisiana, has committed to including the University of Mississippi in his estate plans with a major gift to benefit full-time students in the School of Pharmacy.

Go to article

Indirect Carbonation Of Fbc Ash For Sustainable Production Of Caco3 And Reactive Pozzolanic Residues, Suhawn Ju, Heejung Jun, Seongho Han, Minseok Kim, Soohyun Song, Mingi Cho, Sukhoon Pyo, Jinyoung Yoon Apr 2026

Indirect Carbonation Of Fbc Ash For Sustainable Production Of Caco3 And Reactive Pozzolanic Residues, Suhawn Ju, Heejung Jun, Seongho Han, Minseok Kim, Soohyun Song, Mingi Cho, Sukhoon Pyo, Jinyoung Yoon

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study investigates the potential of indirect carbonation for CO2 sequestration and high-purity CaCO3 production using fluidized bed combustion (FBC) fly ash (FFA) and bottom ash (FBA). XRF and XRD analyses revealed high reactive CaO contents derived from lime, portlandite, and anhydrite. Calcium extraction using 1- mol NH4Cl achieved markedly higher efficiency than deionized (DI) water, yielding up to 17,586 mg/L of Ca²⁺ and producing 10.2 wt.% and 8.4 wt.% CaCO3 from FFA and FBA, respectively, with CO2 capture capacities of 45.0 and 36.8 kg per ton of ash. The precipitated CaCO3 exhibited …

Go to article

Design Of An Adaptive Sliding Mode For Satellite Attitude Control Based On Barrier Function, Osamah A. Aldoori, Mohammed Y. Hassan, Abbas H. Issa Apr 2026

Design Of An Adaptive Sliding Mode For Satellite Attitude Control Based On Barrier Function, Osamah A. Aldoori, Mohammed Y. Hassan, Abbas H. Issa

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Sliding mode control (SMC) has demonstrated significant success in controlling nonlinear systems, particularly those subject to disturbances and uncertainties. However, due to the negative effect of the Chattering phenomenon, it has become necessary to employ an Adaptive Sliding Mode Controller (ASMC) capable of handling time-varying disturbances. This work presents a two-phase Barrier Function (BF) based Adaptive Sliding Mode Controller (BFASMC). This controller is designed to achieve robust stability and performance of nonlinear systems without prior knowledge of disturbance bounds, and applied to satellite Attitude control. The first phase is a constant gain adaptation to ensure rapid convergence, while, the second …

Go to article

Morphology, Phylogeny And Distribution Of Scaeurgus (Cephalopoda: Octopoda) In Southeast Pacific Seamounts, Sergio A. Carrasco, Christian M. Ibáñez, Andrea I. Varela, Jan M. Tapia-Guerra, Erin E. Easton, Javier Sellanes Apr 2026

Morphology, Phylogeny And Distribution Of Scaeurgus (Cephalopoda: Octopoda) In Southeast Pacific Seamounts, Sergio A. Carrasco, Christian M. Ibáñez, Andrea I. Varela, Jan M. Tapia-Guerra, Erin E. Easton, Javier Sellanes

School of Earth, Environmental, & Marine Sciences Faculty Publications

Octopuses of the genus Scaeurgus inhabit upper bathyal benthic habitats and are composed of five recognized species. In this study, we conducted morphological and molecular phylogenetic analyses of two individuals of Scaeurgus and provided additional field observations of the genus in seamounts of the Nazca and Salas y Gómez ridges (southeast Pacific Ocean) over the last six years. Specifically, two specimens of Scaeurgus were collected at 234 m depth in 2019 during the EPIC oceanographic cruise onboard the R/V Mirai (JAMSTEC, Japan), and five other specimens were video recorded at depths between 210 and 340 m during three oceanographic expeditions …

Go to article

Intelligent Mobile Application For Alzheimer's Detection And Patient's Life Management, Dilena Majid Bajalan, Muayad Sadik Croock Apr 2026

Intelligent Mobile Application For Alzheimer's Detection And Patient's Life Management, Dilena Majid Bajalan, Muayad Sadik Croock

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The defining feature of Alzheimer's disease (AD) is a gradual decline in symptoms over several years. This decline reduces the effectiveness of daily routines and leads to memory loss. Among the challenges posed by memory loss are difficulties in remembering names, faces, locations, and other important details. This study introduces an intelligent mobile application designed to assist in managing a patient's daily life, with an emphasis on routine activities and monitoring episodes of memory loss. Additionally, the application aims to detect Alzheimer's disease (AD) using a proposed deep learning model. The suggested Convolutional Neural Network (CNN) deep learning model is …

Go to article

Design And Numerical Analysis Of A High-Quality Factor Plasmonic 1 × 3 Demultiplexer Based On Mim Waveguides, Karrar A. Kzar, Ahmed Ghanim Wadday, Sinan M. Abdulsatar Apr 2026

Design And Numerical Analysis Of A High-Quality Factor Plasmonic 1 × 3 Demultiplexer Based On Mim Waveguides, Karrar A. Kzar, Ahmed Ghanim Wadday, Sinan M. Abdulsatar

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This study aims to design plasmonic filters as essential components in photonic integrated circuits,based on surface plasmon polaritons (SPPs).Surface plasmon polaritons (SPPs) are electromagnetic waves that are transmitted at metal-insulator boundaries.Optical apparatuses founded on SPPs have been widely planned too deliberate because of their outstanding possessions, like beat the diffraction limit and treatment light at subwavelength range and at high speed in minor constructions. Design and analyzing a compact 1 × 3 optical demultiplexer in a plasmonic nano structure be also designed utilize the finite element method (FEM), and the suggested structure was arithmetically simulated utilize COMSOL Multiphysics 5.6 software. …

Go to article

Reliability Analysis For Deep Learning Secured Wireless Sensor Networks, Abeer Hussein Abdulrasool, Ekhlas Kadhum Hamza, Ahmed Mudheher Hasan Apr 2026

Reliability Analysis For Deep Learning Secured Wireless Sensor Networks, Abeer Hussein Abdulrasool, Ekhlas Kadhum Hamza, Ahmed Mudheher Hasan

Iraqi Journal of Computers, Communications, Control and Systems Engineering

With the advancement of software, wireless sensor networks (WSNs) face many problems and challenges, such as loss or limitation of node power resources, as well as intrusions and other cyberattacks. This study aims to improve the reliability of WSNs to mitigate the impact of cyber-attacks by applying effective detection and prevention techniques to ensure their continuous operation, as well as to maintain the security, privacy, and integrity of information. Several efficient approaches and smart techniques have been presented in literature to enhance the reliability and security of WSNs against various cyber-attacks. Recent studies focused on the deep learning (DL) algorithms …

Go to article

Design And Implementation Of An Ofopid Controller For Iraqi Two Areas Power System Using Ant-Colony Optimization Algorithm, Mazin N. Ajaweed, Abbas H. Issa, Mazin T. Muhssin Apr 2026

Design And Implementation Of An Ofopid Controller For Iraqi Two Areas Power System Using Ant-Colony Optimization Algorithm, Mazin N. Ajaweed, Abbas H. Issa, Mazin T. Muhssin

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This study introduces a multi-zone of the Iraqi system model powered by various energy sources, where decentralized controllers operate independently to manage the system's frequency. The system model comprises two zones: the first zone represents the north and central power plants of Iraq. The second zone incorporates the Euphrates and southern power plants of Iraq. The data of the system is obtained from the Iraqi Ministry of Electricity. To evaluate the system's performance, a load disturbance is applied to the system. The study examines various control methodologies, first with an Optimised Proportional-Integral-Derivative (OPID) controller as the baseline, subsequently progressing to …

Go to article

Experimental Comparison Of Apf-Irrt*-Hs And Apf-Irrt*-Sb Path Planning Algorithms Using Robotic Manipulators, Mohammed T. Hameed, Ahmed R. Naser, Firas A. Raheem Apr 2026

Experimental Comparison Of Apf-Irrt*-Hs And Apf-Irrt*-Sb Path Planning Algorithms Using Robotic Manipulators, Mohammed T. Hameed, Ahmed R. Naser, Firas A. Raheem

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Path planning is a fundamental task in robotic systems, especially for manipulators operating in constrained environments. The use of low-discrepancy sequence techniques in traditional planning algorithms can significantly improve performance, particularly in terms of speed of convergence and optimal path. In this work, we utilize the popular quasi-random sequence methods, the Halton and Sobol sequences, to explore their impact on the Rapidly Exploring Random Tree (RRT) algorithm. The APF-RT*-HS and the APF-RT*-SB are path-planning algorithms that are experimentally compared in this paper in terms of path length and the number of iterations, which are essential factors affecting robot energy efficiency …

Go to article

Secret Key Generation From Real-Time Audio In Communication Apps, Rasha M. Mohsin Apr 2026

Secret Key Generation From Real-Time Audio In Communication Apps, Rasha M. Mohsin

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Social media platforms security growing challenge of Security vulerabilities, underscoring for secure communication channels and robust user privacy safeguards. Althought key exchange protocol of the Diffie-Hellman (DH) widely adopted, remains various attacks of susceptible asnumber_theoretic exploits, Discrete Logarithm Attacks (DLAs) and Man_in_the_Middle Attacks (MITMAs). This study aim to generate cryptographic key depend on WAV audio files. By operating the entropy and distinctiveness of speech and ambient sound. Audio features has extracting by system to generat secure keys compatible with the DH protocol. The facilitate of these keys is strong encryption and decryption processes, thereby that enhancing the security of communication. …

Go to article

Path Planning For Robotic Systems In Dynamic Environments: Using Rrt*, Rrt-D* Lite, And Bi-Rrt*-D* Lite, Hameed Salman Hameed, Omar Farouq Lutfy, Firas A. Raheem Apr 2026

Path Planning For Robotic Systems In Dynamic Environments: Using Rrt*, Rrt-D* Lite, And Bi-Rrt*-D* Lite, Hameed Salman Hameed, Omar Farouq Lutfy, Firas A. Raheem

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Path planning is one of the essential challenges in the area of robotic systems. In recent years, Rapidly-exploring Random Tree star (RRT*) has been a preferred path planner for robots due to its probabilistic completeness. This paper explores using three path planning algorithms for a mass point robotic system navigating dynamic environments with RRT*, Bidirectional Rapidly-exploring Random Tree (Bi-RRT*), and a novel hybrid approach (Bi-RRT*-D Lite*). The study shows the performance of these algorithms in terms of the path length, the path generating time, the number of search attempts, and the percentage error. In addition, it compares the Bi-RRT* and …

Go to article

Federated Learning With Deep Learning: A Comprehensive Survey, Sarah H. Mnkash, Faiz A. Alawy, Israa T. Ali Apr 2026

Federated Learning With Deep Learning: A Comprehensive Survey, Sarah H. Mnkash, Faiz A. Alawy, Israa T. Ali

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Federated Learning (FL) introduces a decentralized machine learning paradigm where model training occurs directly on user devices, ensuring data privacy by keeping sensitive information local. This approach ensures data privacy and security by keeping all sensitive or personally identifiable information local to the device, thereby eliminating the need to transfer or centralize raw data. In this survey, we examine federated deep learning — its challenges, recent developments, application domains, privacy preservation strategies, and future trends. We will give some primitive reference papers of the heterogeneity of statistics and systems, communication cost, fairness, and trust. Applications in health, Internet of Things …

Go to article

Enhancement Dijkstra Algorithm Approach For Path Planning Navigation, Ali Alyasin, Eyad I. Abbas, Jabbar K. Mohammed Apr 2026

Enhancement Dijkstra Algorithm Approach For Path Planning Navigation, Ali Alyasin, Eyad I. Abbas, Jabbar K. Mohammed

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Mobile robots are developing rapidly compared for modern information technology and are used in many fields, such as medicine, industry, military services, and all public services. However, the challenges facing these technologies are significant, including positioning, environmental awareness, path planning, and motion control. Greedy algorithm, Dijkstra algorithm is used for make the path planning better process for ensure increased navigation efficiency. The algorithm uses graphs to find the shortest path between two nodes in a weighted graph by repeating the process. calculating how far things have gone. The initial process of calculating the shortest path speeds up the proposed algorithm's …

Go to article

A Lightweight Cnn Baseline For Offline Handwritten Digit Recognition On Mnist: Design And Evaluation, Raid Ismael Mohammed Apr 2026

A Lightweight Cnn Baseline For Offline Handwritten Digit Recognition On Mnist: Design And Evaluation, Raid Ismael Mohammed

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Handwritten digit recognition is a classic computer vision task, often used as a benchmark for image classification models. This paper presents a lightweight convolutional neural network (CNN) baseline for offline handwritten digit recognition using the MNIST dataset. The proposed CNN has a simple architecture (two convolutional layers with max-pooling, followed by a flattening and two fully connected layers) and is designed to be computationally efficient while achieving high accuracy. We train the model with standard settings (Adam optimizer, batch size 128, ∼10 epochs) and obtain ∼98–99% recognition accuracy on MNIST. We provide a detailed evaluation including training curves and a …

Go to article

Improving The Tracking Performance Of Par-4 Robot Using Nature-Inspired Optimization Algorithms To Tune The Pid Controller, Shaymaa M. Mahdi, Ahmed I. Abdulkareem, Amjad J. Humaidi Apr 2026

Improving The Tracking Performance Of Par-4 Robot Using Nature-Inspired Optimization Algorithms To Tune The Pid Controller, Shaymaa M. Mahdi, Ahmed I. Abdulkareem, Amjad J. Humaidi

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The Par-4 Delta parallel robot is a powerful candidate in most pick-and-place applications that require high speed, high acceleration, and high precision. Improving the tracking accuracy of parallel robots primarily relies on control design, which is essential for achieving enhanced performance and precision. The PID controller includes proportional, integral, and derivative values. On the other hand, the process of optimum tuning for a PID controller is complex and time-consuming until optimization approaches are employed. The Particle Swarm Optimization (PSO), Flower Pollination Algorithm (FPA), and Whale Optimization Algorithm (WOA) algorithms are the three Nature-Inspired Optimization algorithms proposed in this research for …

Go to article

Mondo: Integrating Disease Terminology Across Communities, Nicole A Vasilevsky, Sabrina Toro, Nicolas Matentzoglu, Joseph E Flack, Kathleen R Mullen, Harshad Hegde, Sarah Gehrke, Patricia L Whetzel, Yousif Shwetar, Nomi L Harris, Mee S Ngu, Gioconda L Alyea, Megan S Kane, Paola Roncaglia, Eric Sid, Courtney L Thaxton, Valerie Wood, Roshini S Abraham, Maria Isabel Achatz, Pamela Ajuyah, Joanna S Amberger, Lawrence Babb, Jasmine Baker, James P Balhoff, Jonathan S Berg, Amol Bhalla, Xavier Bofill-De Ros, Ian R Braun, Eleanor C Broeren, Blake K Byer, Alicia B Byrne, Tiffany J Callahan, Leigh C Carmody, Lauren E Chan, Amanda R Clause, Julie S Cohen, Marcello Deluca, Natalie T Deuitch, May Flowers, Jamie Fraser, Toyofumi Fujiwara, Vanessa Gitau, Jennifer L Goldstein, Dylan Gration, Tudor Groza, Benjamin M Gyori, William Hankey, Jason A Hilton, Daniel S Himmelstein, Stephanie S Hong, Charles T Hoyt, Robert Huether, Eric Hurwitz, Julius O B Jacobsen, Atsuo Kikuchi, Sebastian Köhler, Daniel R Korn, David Lagorce, Bryan J Laraway, Jane Y Li, Adriana J Malheiro, James Mclaughlin, Birgit H M Meldal, Shruthi Mohan, Sierra A T Moxon, Monica C Munoz-Torres, Tristan H Nelson, Frank W Nicholas, David Ochoa, Daniel Olson, Tudor I Oprea, Tomiko T Oskotsky, David Osumi-Sutherland, Kelley Paris, Helen E Parkinson, Zoë M Pendlington, Xiao P Peng, Amy Pizzino, Sharon E Plon, Bradford C Powell, Julie C Ratliff, Heidi L Rehm, Lyubov Remennik, Erin R Riggs, Sean Roberts, Peter N Robinson, Justyne E Ross, Kevin Schaper, Brian M Schilder, Johanna L Schmidt, Elliott W Sharp, Morgan N Similuk, Damian Smedley, Tam P Sneddon, Rachel Sparks, Ray Stefancsik, Gregory S Stupp, Shilpa Sundar, Terue Takatsuki, Imke Tammen, Kezang C Tshering, Deepak R Unni, Eloise Valasek, Adeline Vanderver, Alex H Wagner, Ryan F Webb, Danielle Welter, Doron Yaya-Stupp, Andreas Zankl, Xingmin Aaron Zhang, Julie A Mcmurry, Christopher G Chute, Ada Hamosh, Christopher J Mungall, Melissa A Haendel Apr 2026

Mondo: Integrating Disease Terminology Across Communities, Nicole A Vasilevsky, Sabrina Toro, Nicolas Matentzoglu, Joseph E Flack, Kathleen R Mullen, Harshad Hegde, Sarah Gehrke, Patricia L Whetzel, Yousif Shwetar, Nomi L Harris, Mee S Ngu, Gioconda L Alyea, Megan S Kane, Paola Roncaglia, Eric Sid, Courtney L Thaxton, Valerie Wood, Roshini S Abraham, Maria Isabel Achatz, Pamela Ajuyah, Joanna S Amberger, Lawrence Babb, Jasmine Baker, James P Balhoff, Jonathan S Berg, Amol Bhalla, Xavier Bofill-De Ros, Ian R Braun, Eleanor C Broeren, Blake K Byer, Alicia B Byrne, Tiffany J Callahan, Leigh C Carmody, Lauren E Chan, Amanda R Clause, Julie S Cohen, Marcello Deluca, Natalie T Deuitch, May Flowers, Jamie Fraser, Toyofumi Fujiwara, Vanessa Gitau, Jennifer L Goldstein, Dylan Gration, Tudor Groza, Benjamin M Gyori, William Hankey, Jason A Hilton, Daniel S Himmelstein, Stephanie S Hong, Charles T Hoyt, Robert Huether, Eric Hurwitz, Julius O B Jacobsen, Atsuo Kikuchi, Sebastian Köhler, Daniel R Korn, David Lagorce, Bryan J Laraway, Jane Y Li, Adriana J Malheiro, James Mclaughlin, Birgit H M Meldal, Shruthi Mohan, Sierra A T Moxon, Monica C Munoz-Torres, Tristan H Nelson, Frank W Nicholas, David Ochoa, Daniel Olson, Tudor I Oprea, Tomiko T Oskotsky, David Osumi-Sutherland, Kelley Paris, Helen E Parkinson, Zoë M Pendlington, Xiao P Peng, Amy Pizzino, Sharon E Plon, Bradford C Powell, Julie C Ratliff, Heidi L Rehm, Lyubov Remennik, Erin R Riggs, Sean Roberts, Peter N Robinson, Justyne E Ross, Kevin Schaper, Brian M Schilder, Johanna L Schmidt, Elliott W Sharp, Morgan N Similuk, Damian Smedley, Tam P Sneddon, Rachel Sparks, Ray Stefancsik, Gregory S Stupp, Shilpa Sundar, Terue Takatsuki, Imke Tammen, Kezang C Tshering, Deepak R Unni, Eloise Valasek, Adeline Vanderver, Alex H Wagner, Ryan F Webb, Danielle Welter, Doron Yaya-Stupp, Andreas Zankl, Xingmin Aaron Zhang, Julie A Mcmurry, Christopher G Chute, Ada Hamosh, Christopher J Mungall, Melissa A Haendel

Faculty, Staff and Students Publications

Precision medicine aims to enhance diagnosis, treatment, and prognosis by integrating multimodal data at the point of care. However, challenges arise due to the vast number of diseases, differing methods of classification, and conflicting terminological coding systems and practices used to represent molecular definitions of disease. This lack of interoperability artificially constrains the potential for diagnosis, clinical decision support, care outcome analysis, as well as data linkage across research domains to support the development or repurposing of therapeutics. There is a clear and pressing need for a unified system for managing disease entities⁠-including identifiers, synonyms, and definitions. To address these …

Go to article

First Prev Next Last