Digital Commons Network^™

Recent Advances In The Design Principles Of Lithium Selective Membranes, Shayan Abrishami, Huan Xiao, Mohsen Asadnia, Ze Xian Low, Amir Razmjou

Research outputs 2022 to 2026

The growing demand for lithium in energy storage applications has intensified the need for efficient lithium extraction technologies, with membrane processes emerging as a promising approach. Among various membrane technologies, nanostructured membranes with precisely engineered channels have shown exceptional potential for selective lithium extraction due to their ability to control ion transport at the molecular level. This review provides a comprehensive analysis of the fundamental design principles governing lithium-selective membranes, with a specific focus on nanochannel-based systems. We examine the critical parameters that influence lithium selectivity, including surface charge distribution, nanochannel dimensions, morphology, and wettability, while exploring how these factors …

Deep Learning For Land Use Classification: A Systematic Review Of Hs-Lidar Imagery, Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, David Blake, Anwaar Ulhaq, Naeem Janjua

Research outputs 2022 to 2026

Remote sensing (RS) technologies have significantly advanced Earth observation capabilities, enhancing the characterization and identification of surface materials through both spaceborne and airborne systems. These advancements are crucial for improving environmental monitoring and urban planning. As RS datasets have become more accessible, their increased complexity has necessitated a shift from traditional machine learning techniques to more robust deep learning approaches, particularly convolutional neural networks (CNNs) and transformer-based models known for their superior feature extraction capabilities. This systematic review focuses on the application of these deep learning techniques in land use classification, emphasizing the fusion of hyperspectral (HS) and LiDAR data. …

Impact Of Co2 Impurity In Hydrogen Gas On Wetting Characteristics Of Carbonate Minerals; New Insights And Implications For Hydrogen Geo-Storage In Saline Aquifers, Amirmansour Jafari, Zoha Dalal Isfehani, Jalal Fahimpour, Nima Shokri, Mirhasan Hosseini, Mohammad Sharifi

Research outputs 2022 to 2026

The effectiveness of Underground Hydrogen Storage (UHS) as a long-term solution for sustainable green energy relies on secure containment in geological formations and optimized storage and retrieval processes, where fluid-rock interactions, particularly the wettability of the rock, play a crucial role. Additionally, the pre-injection of a cushion gas, such as CO2, to maintain sufficient pressure for hydrogen (H2) withdrawal can influence wettability. This study employed the tilted plate method to examine contact angle hysteresis of the wetting phase (water) on a carbonate rock substrate, measuring advancing and receding contact angles in the presence of various H2-CO2 mixtures ([0.30 CO2 + …

Patterns Of Ecological Quality In Portuguese Transitional Waters Over The Last Five Decades: A Framework Based On Benthic Foraminifera For The Sado Estuary, J. Moreno, F. Moreno, F. Fatela, E. Leorri, M. Leira, P. Masqué, M. C. Freitas

Research outputs 2022 to 2026

This study aimed to examine the validity of benthic foraminifera-based indices – Foraminiferal Stress Index (FSI), diversity index Exp(H'bc), and Ecological Quality Ratio (EQR) – for evaluating estuarine environmental conditions and supporting palaeoecological reconstructions, focusing on the Sado estuary (southwest Portugal). Located near heavily industrialized urban areas and designated as a Nature Reserve, this estuary faces human pressures and high natural values, leading to management conflicts. Foraminiferal assemblages were analysed in surface sediment samples, with known concentrations of several metal(loid)s, and in dated core samples. Correlations were found between metal(loid)s, organic matter, grain size, and salinity (as a proxy for …

Shallow Coastal Bays As Sediment Carbon And Nutrient Reservoirs In The Baltic Sea, Betty Gubri, Joakim P. Hansen, Sofia A. Wikström, Martin Snickars, Martin Dahl, Martin Gullström, Emil Rydin, Pere Masqué, Andrius Garbaras, Mats Björk, Christoffer Boström

Research outputs 2022 to 2026

Coastal vegetated ecosystems are being increasingly recognized for their capacity to capture carbon, provide long-term biogenic storage, and alleviate nutrient pollution. To assess the ability of shallow, vegetated coastal bays to function as blue carbon and nutrient (nitrogen and phosphorus) sinks, we collected sediment cores in nine shallow enclosed bays (representative of the EU Habitats 1153 and 1154) in the archipelago areas of Sweden (Stockholm), Åland Island, and southwestern Finland. Our study showed strong uniformity of carbon and nutrient storage, substantial accumulation of carbon and nutrients, and minimal regional differences in carbon, nitrogen, and phosphorus sediment stocks. These findings are …

The Outcomes Of A Structured Bowel Management Programme On Childhood Functional Constipation: A Retrospective Pre – Post Intervention Study, Gunilla Flankegård, Peter Wide, Evalotte Mörelius

Research outputs 2022 to 2026

Aim: The purpose of this study was to describe and evaluate the effectiveness of a six-month structured bowel management programme (SBMP) for children with therapy-resistant functional constipation (FC). Method: A retrospective review of medical records with a pre-post design was conducted at an outpatient paediatric clinic in Sweden. Bowel frequency, stool form, faecal incontinence, and abdominal pain were compared before and after the intervention. Predictive factors for successful discharge and duration of care through long-term follow-up were calculated. Results: Of the 142 children enrolled in the SBMP, 132 completed the programme. Despite previous FC therapy resistance, the SBMP achieved a …

Shaping Youth Ministry: Exploring Influences On Youth Pastors’ Approaches To Programme Design, Timothy A. Mullen, Trudi Cooper

Research outputs 2022 to 2026

The literature on youth ministry practices is mostly anecdotal, and empirical research into the practices, goals, and meanings of youth ministry to youth pastors is rare, especially in Australia. In this study, 20 youth pastors in Perth, Western Australia, were interviewed about their goals, priorities, practices, training, and what influenced them. This study forms part of a larger doctoral research project. The interview data were analysed utilising a phenomenological approach, drawing upon Goffman’s framing analysis to examine the link between ‘meaning making’ and explicit and tacit motivations for youth ministry practice. The research found that youth pastors were most often …

The Luminos Project: Co-Designing A Short-Stay Suicide Support Model For Young People, Aims Hansen, Samantha Speirs, Kirsten Panton, Jacinta Freeman, Zrinka Highfield, Kieren Marshall, Eleanor Tighe, Laura Hemming, Bep Uink, Francis Mitrou, Vu Vuong, Ashleigh Lin

Research outputs 2022 to 2026

Background: Suicide was the leading cause of death among young Australians aged 15–24 years old in 2023, with 392 lives lost. The continued high numbers of youth suicide demand urgent exploration of alternative approaches to suicide intervention in this population. The United Kingdom-based suicide service Maytree offers an innovative short-term stay for people experiencing suicidal thoughts. Grounded by the Maytree model-of-care, the aim of the current study was to co-design a short-stay service responsive to the specific needs of suicidal young people. Methods: Semi-structured and focus group interviews with young people (n = 38), caregivers (n = 11) and key …

Occupational Exposure To Diesel Particulate Matter In Western Australian Mining: A Retrospective Analysis And Challenges To Future Compliance, Matthew Oosthuizen, Kerry Staples, Adelle Liebenberg, Kiam Padamsey, Marcus Cattani, Andy Mccarthy, Jacques Oosthuizen

Research outputs 2022 to 2026

De-identified diesel particulate matter (DPM) exposure data (n = 24,459) was obtained from the Western Australian mining regulator to assess compliance with the current Workplace Exposure Standard (WES) of 0.1 mg/m³, measured as submicron elemental carbon, and a proposed limit of 0.01 mg/m³, assessed as respirable elemental carbon. R and R-Studio were used to generate summary statistics comparing compliance to the current and proposed limits, stratified by industry and occupational groups. To examine temporal trends, a zero-adjusted gamma model was used to assess whether expected sample means changed over the past ten years, using commodity and …

Thermal Fatigue Failure Mechanisms And Enhancement Strategies Of Die Steel, Chuan De Li, Hong Yu Yang, Bai Xin Dong, De Li Chen, Shi Li Shu, Feng Qiu, Qi Chuan Jiang, Lai Chang Zhang

Research outputs 2022 to 2026

Thermal fatigue failure is the core issue that restricts the development of die-casting technology, and it directly impacts the lifespan of the dies and the resulting economic benefits. This article reviews the fundamental mechanisms of thermal fatigue failure of die steels, classifies the potential failure mechanisms and discusses them in detail. This article examines the pivotal factors that affect the thermal fatigue resistance of die steels from four perspectives: alloying elements, processing techniques, microstructure, and inherent properties. On this basis, this article summarizes the advantages and disadvantages of various methods to enhance thermal fatigue resistance, such as alloying element optimization, …

Physics-Based Machine Learning Framework For Predicting Structure-Property Relationships In Ded-Fabricated Low-Alloy Steels †, Atiqur Rahman, Md Hazrat Ali, Asad Waqar Malik, Muhammad Arif Mahmood, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The Directed Energy Deposition (DED) process has demonstrated high efficiency in manufacturing steel parts with complex geometries and superior capabilities. Understanding the complex interplays of alloy compositions, cooling rates, grain sizes, thermal histories, and mechanical properties remains a significant challenge during DED processing. Interpretable and data-driven modeling has proven effective in tackling this challenge, as machine learning (ML) algorithms continue to advance in capturing complex property structural relationships. However, accurately predicting the prime mechanical properties, including ultimate tensile strength (UTS), yield strength (YS), and hardness value (HV), remains a challenging task due to the complex and non-linear relationships among process …

The Significance Of Blockchain Technology In Preserving Digital Evidence Integrity In Forensic Investigations, Marwa Popal, Ashfaq Ahmad, Muhammad Arshad

Research Outputs: 2025-Present

Digital forensics is the application of technology to the investigation and accounting of digital crime and the extraction and analysis of digital evidence from systems and networks. As the number of IoT [Internet of Things] devices has proliferated, the complexity inherent in forensic investigations has skyrocketed. While IoT forensics addresses the challenges of a lack of standardized security protocol and ensuring the integrity as well as security of evidence data, it brings to bear all the difficulties existing in classic forensics. Unfortunately, traditional digital forensic tools are generally inadequate in shielding that evidence from tampering or unauthorized access. Digital evidence …

Evaluation Of Achievement Change In Egypt Using Pirls Data, Harry Anthony Patrinos, Maciej Jakubowski, Tomasz Gajderowicz

Education Reform Faculty and Graduate Students Publications

This study analyzes Egypt's exceptional reading achievement gains during the COVID-19 school closures, a period when most countries experienced declines. Drawing on data from the 2016 and 2021 Progress in International Reading Literacy Study (PIRLS), we find a 48-point improvement-equivalent to two years of learning-with notable gains among boys. Using Ordinary Least Squares (OLS) and projected trend models, we confirm the significance of this rise. Oaxaca-Blinder decomposition attributes only one-third of the improvement to observed factors. The study finds that Egypt's progress likely reflects systemic reforms, but more research is needed to confirm that.

Machine Learning Feasibility In Cochlear Implant Speech Perception Outcomes-Moving Beyond Single Biomarkers For Cochlear Implant Performance Prediction, Matthew A. Shew, Cole Pavelchek, Andrew Michelson, Amanda Ortmann, Shannon Lefler, Amit Walia, Nedim Durakovic, Alisa Phillips, Ayna Rejepova, Jacques A. Herzog, Phillip Payne, Jay F. Piccirillo, Craig A. Buchman

2020-Current year OA Pubs

OBJECTIVES: Machine learning (ML) is an emerging discipline centered around complex pattern matching and large data-based prediction modeling and can improve precision medicine healthcare. Cochlear implants (CI) are highly effective, however, outcomes vary widely, and accurately predicting speech perception performance outcomes between patients remains a challenge. This study aims to evaluate the ability of ML to predict speech perception performance among CI recipients at 6-month post-implantation using only preoperative variables on one of the largest CI datasets to date, with an emphasis placed on identification of poor performers.

DESIGN: All patients enrolled in the national CI outcome tracking database, HERMES, …

Associations Of Biomarkers Of Systemic Inflammation, Angiogenesis, And Cell-To-Cell Adhesion With Tumor Budding Among Early-Onset And Later-Onset Colorectal Cancer Patients, Oda Hausmann, Adetunji T Toriola, Et Al.

2020-Current year OA Pubs

BACKGROUND: High tumor budding and elevated systemic inflammation are adverse prognostic indicators in colorectal cancer. Its underlying mechanisms remain poorly understood. It is unclear whether systemic inflammation, angiogenesis, and cell-to-cell adhesion influence tumor budding.

METHODS: We investigated n = 132 stage I-III colorectal cancer patients recruited at Huntsman Cancer Institute enrolled in the ColoCare Study. Tumor budding was evaluated using an evidence-based scoring system, and patient sera were analyzed for nine circulating biomarkers using the Meso Scale Discovery platform. We examined associations between biomarkers and tumor budding using multivariable linear regression models adjusted for age, sex, neoadjuvant treatment, stage, and …

Multilevel Text Protection System Using Aes And Dwt-Dct-Svd Techniques, Nuha Mohammed Khassaf, Nada Hussein M. Ali

Mesopotamian Journal of CyberSecurity

In the digital age, protecting intellectual property and sensitive information against unauthorized access is of paramount importance. While encryption helps keep data private and steganography hides the fact that data are present, using both together makes the security much stronger. This paper introduces a new way to hide encrypted text inside color images by integrating discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD), along with AES-GCM encryption, to guarantee data integrity and authenticity. The proposed method operates in the YCbCr color space, targeting the luminance (Y) channel to preserve perceptual quality. Embedding is performed within …

Enhanced Key Generation Method Using Deep Q-Networks Algorithm With Chaotic Maps, Ali A. Mahdi, Mays M. Hoobi

Mesopotamian Journal of CyberSecurity

In contemporary digital environments, exponential cyber threat growth has made cryptographic key generation a critical security challenge. Traditional Pseudo-Random Number Generators (PRNGs) and existing chaos-based methods often exhibit insufficient entropy, limited randomness quality, and inadequate resistance to statistical attacks. Current implementations frequently produce suboptimal entropy values and fail to meet modern cryptographic security standards and rigorous randomness testing protocols. This paper aims to design and implement an advanced cryptographic key generation system that combines Deep Q-Networks (DQN) algorithms with multiple chaotic maps to produce cryptographically secure stream key bits with high randomness and strong resistance to cryptanalytic attacks. The proposed …

Blockchain-Powered Dynamic Segmentation In Personal Health Record, Mishall Al-Zubaidie, Wid Alaa Jebbar

Mesopotamian Journal of CyberSecurity

Sensitive patient data must be handled securely in modern oncology care to protect patient privacy, regulatory compliance, and clinical decision-making integrity. Conventional centralized healthcare systems pose serious threats to patient confidentiality and treatment continuity because of their susceptibility to data breaches, illegal access, and single points of failure. This study suggests a blockchain-based decentralized cancer healthcare security solution. The proposed system is based on the idea of layers; each layer has a distinct function that gives it a feature that sets it apart from the others. A hierarchical clustering algorithm (HCA) is used in the first layer to determine the …

Priflex: A Secure Federated Learning Framework For Evaluating Privacy Leakage And Defense In Cross-Modal Medical Data, Mohammad Othman Nassar, Feras Fares Al-Mashagba

Mesopotamian Journal of CyberSecurity

Federated learning (FL) enables decentralized, privacy-preserving machine learning by training models across distributed data without sharing raw patient information. However, most FL frameworks focus on unimodal data and overlook critical challenges in multimodal healthcare settings, such as privacy risks, fairness disparities, and reduced model interpretability. We present PRIFLEX (Privacy-Resilient Integration Framework for Learning Exchange), a novel FL framework designed for secure integration of structured and unstructured medical data. PRIFLEX combines 12-lead electrocardiograms (ECG) from the PhysioNet PTB-XL dataset and clinical notes from the Medical Information Mart for Intensive Care IV (MIMIC-IV), supporting early, late, and hybrid data fusion strategies. To …

Comprehensive Study Of Integrating Clustering And Adversarial Learning For Enhanced Recommender Systems: A Systematic Review Of Hybrid Methodologies And Applications, M. E. Alqaysi, Murtadha M. Hamad, Ahmed Subhi Abdalkafor

Mesopotamian Journal of CyberSecurity

Recommender systems (RSs) have become critical elements in modern instances of information and decision-support systems, resulting in a transformation of user experiences through highly personalized suggestions for an undeniably vast range of items. Although RSs have become commonplace, they continue to evolve, and their challenges, including sparsity, cold-start, scalability, and vulnerability to adversarial challenges remain. The use of clustering methods has proven highly effective in resolving these issues through the discovery and exploitation of latent user behaviour patterns, segmenting user groups that contribute more towards personalized and adaptable RSs. Additionally, adversarial learning has become a growing focus of study as …

Blockchain-Based Accountability: A Systematic Literature Review, Nabeel Z. Tawfeeq, Dujan B. Taha

Mesopotamian Journal of CyberSecurity

The Blockchain algorithm has advanced the accountability and transparency of modern digital infrastructures. Enforcing responsible behavior and data integrity across distributed environments involves several key components, such as smart contracts, access control models, cryptographic techniques, and a decentralized identity framework. Because the blockchain ledger is immutable and transparent, once a transaction is recorded, it cannot be altered without detection, making fraudulent actions easily traceable and thereby ensuring accountability. However, the need for hybrid approaches that combine on-chain and off-chain solutions for an efficient reliability system introduces challenges, including privacy preservation, scalability, and regulatory compliance. This paper analyzes the effective features …

Improvement Of The Face Recognition Systems Security Against Morph Attacks Using The Developed Siamese Neural Network, Sura Abed Sarab Hussien, Thair Abed Sarab Hussien, Nada Hussein M. Ali

Mesopotamian Journal of CyberSecurity

Face Recognition Systems (FRS) are increasingly targeted by morphing attacks, where facial features of multiple individuals are blended into a synthetic image to deceive biometric verification. This paper proposes an enhanced Siamese Neural Network (SNN)-based system for robust morph detection. The methodology involves four stages. First, a dataset of real and morphed images is generated using StyleGAN, producing high-quality facial images. Second, facial regions are extracted using Faster Region-based Convolutional Neural Networks (R-CNN) to isolate relevant features and eliminate background noise. Third, a Local Binary Pattern-Convolutional Neural Network (LBP-CNN) is used to build a baseline FRS and assess its susceptibility …

Global Research Trends And Collaboration In Mitre Att&Ck Framework: A Bibliometric And Network Analysis In Cybersecurity, Asad Maqsood, Syifak Izhar Hisham, Ahmad Firdaus

Mesopotamian Journal of CyberSecurity

The MITRE ATT&CK framework has become a foundational tool for organizing adversarial behaviors and techniques in cybersecurity. While its adoption in practice and academia has grown significantly, no prior bibliometric review has comprehensively mapped the global research landscape surrounding this framework. This study addresses that gap by conducting a systematic bibliometric and network analysis of publications related to ATT&CK indexed in Scopus from 2017 to 2025. Using VOSviewer and quantitative bibliometric methods, we analyzed 391 publications to identify trends in research output, influential works, key contributors, thematic areas, and patterns of collaboration. Results show exponential growth in studies related to …

A Proposed Algorithm For Avoiding Jammer In Structure-Free Wireless Sensor Networks, Zainab Shaker Matar Al-Husseini, Hussain K. Chaiel, Amel Meddeb, Ahmed Fakhfakh, Ahmed Fakhfakh

Mesopotamian Journal of CyberSecurity

Wireless Sensor Networks (WSNs) have emerged as a transformative technology with applications in critical and often inaccessible environments, including military and security domains. These networks comprise cooperative sensor nodes that gather and relay data to a base station. However, their inherent resource constraints—particularly the non-rechargeable nature of energy—pose a major challenge to network longevity and reliability. Conventional fixed-path transmission protocols exacerbate this issue, as energy-depleted or jammed nodes can disrupt communication, leading to partial or complete data loss. The primary objective of this study is to design and evaluate a structure-free transmission protocol that dynamically adapts data routing in order …

Preliminary Investigation Of The Potential Health Risks Of Non-Formfitting Body Armor With A Focus On Female Warfighters, Melissa Sutter, Catherine E. Johnson

Mining Engineering Faculty Research & Creative Works

Introduction Body armor is an important piece of protective equipment for warfighters in battlefield environments. With more women now filling military roles, body armor designs may need to be further refined to accommodate the female anatomy instead of the male-based unisex designs. Unisex designs have been found to have negative effects on female warfighter performance, resulting in discomfort, breathing difficulty, and air gaps forming between the armor and torso. This study aimed to investigate increased injury risk because of air gaps from shock wave exposure on warfighters wearing nonform-fitting armor and the influence of material properties. Based on literature, lowered …

Balancing Act: Addressing Child Quantity-Quality Trade-Off In The Philippines Households With Educational And Health Social Programs, John Andrew A. Alsol, Zed Tristan L. Dy, Maire Carroline T. Magante

Economics Department Faculty Publications

The child quantity-quality (CQQ) trade-off has been extensively studied in economic research since it was first introduced by Becker and Lewis in 1973. Studies have argued that the current economic circumstances and the presence of government aid in education and health determine the existence and extent of the CQQ trade-off. However, there is a dearth of empirically tested research on the possible decreasing effects of social programs on the CQQ trade-off. Using the 2019 Annual Poverty Indicators Survey, this paper seeks to determine the effect of education and health social programs on the CQQ trade-off in the Philippines. Probit models …

A Large-Scale Multi-Centre Study Characterising Atrophy Heterogeneity In Alzheimer's Disease, Vikram Venkatraghavan, Damiano Archetti, Pierrick Bourgeat, Chenyang Jiang, Mara Ten Kate, Anna C. Van Loenhoud, Rik Ossenkoppele, Charlotte E. Teunissen, Elsmarieke Van De Giessen, Yolande A.L. Pijnenburg, Giovanni B. Frisoni, Béla Weiss, Zoltán Vidnyánszky, Tibor Auer, Stanley Durrleman, Alberto Redolfi, Simon M. Laws, Paul Maruff, Neil P. Oxtoby, Andre Altmann, Daniel C. Alexander, Wiesje M. Van Der Flier, Frederik Barkhof, Betty M. Tijms

Research outputs 2022 to 2026

Previous studies identified atrophy-based Alzheimer's disease(AD) subtypes linked to distinct clinical symptoms, but their consistency across subtyping approaches remains unclear. This large-scale study evaluates subtype concordance using two data-driven approaches. In this work, we analyzed data from n=10,011 patients across 10 AD cohorts spanning Europe, the US, and Australia, extracting regional volumes using Freesurfer. To characterize atrophy heterogeneity in the AD continuum, we developed a two-step approach, Snowphlake (Staging NeurOdegeneration With PHenotype informed progression timeLine of biomarKErs), to identify subtypes and atrophy-event sequences within each subtype. Results were compared with SuStaIn (Subtype and Stage Inference), which jointly estimates subtypes and …

Comparison Of Decision-Making Skill In 360° Video To The Field Setting In Highly Skilled Rugby Union Players, Hannah J. Vawser, Khaya Morris-Binelli, Benjamin Piggott, Sean Müller, Paola Chivers, Evan Dekker

Research outputs 2022 to 2026

Little evidence exists of whether decision-making in immersive 360° video is representative of the field setting in sport. The purpose of this study was to investigate whether decision-making performance of a representative exemplar competition specific skill was similar between 360° video and a field task. Fifteen players from skilled junior rugby union pathways and professional rugby union teams in Australia were recruited to complete a 360° video decision-making choice response task involving four attackers and three defenders. Their decision-making was previously assessed in a similar field decision-making task that was representative of rugby game play. Decision-making was scored according to …

Shared Power, Shared Future: Navigating Technology, Ownership, And Equity In Community Battery Storage, Bassam Al-Hanahi, Nishadi Mudiyanselage, Asma Aziz

Research outputs 2022 to 2026

Community Battery Storage Systems (CBS) are gaining traction as a shared energy solution to support the growing integration of rooftop solar and electric vehicles. Operating at the neighborhood scale, CBS offers benefits such as grid flexibility, enhanced self-consumption, and cost optimization. This review provides a multidimensional synthesis of CBS developments, examining technical design, ownership structures, regulatory conditions, and community engagement. By analyzing pilot projects and demonstration trials, the paper identifies recurring challenges – including inconsistent tariff structures, limited financial viability, and unclear market roles – that constrain scalability. It also highlights emerging strategies such as Local Use of Service (LUoS) …

History Informing The Future Of Exercise Oncology, Daniel A. Galvão, Kerry S. Courneya, Alejandro Lucia, Anne M. May, Karen Mustian, Allison B. Warner, Wiskemann Joachim, Karen Wonders, Kathryn H. Schmitz, Robert U. Newton

Research outputs 2022 to 2026

Exercise is increasingly recognized by patients, clinicians, and allied health professionals globally as an important component of cancer care. In this paper, we provide a viewpoint on developments in exercise oncology over the past 4 decades leading up to the creation of the International Society of Exercise Oncology (ISEO). We briefly review research in adult and pediatric cancers from early foundation studies to larger randomized controlled trials published in mainstream oncology journals alongside critical work undertaken in exercise and cancer biological mechanisms. We also discuss potential strengths, weaknesses, opportunities, and threats facing ISEO in becoming a global forum for exercise …