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2020 – today
- 2025
- [j37]Christopher McCausland, Pardis Biglarbeigi, Raymond R. Bond, Golnaz Yadollahikhales, Alan Kennedy, Anna Sigridur Islind, Erna Sif Arnardóttir, Dewar D. Finlay:
Time-frequency ridge characterisation of sleep stage transitions: Towards improving electroencephalogram annotations using an advanced visualisation technique. Expert Syst. Appl. 262: 125490 (2025) - 2023
- [j36]Ghalib Muhammad Waqas Janjua
, Dewar D. Finlay
Evaluation of Pulse Transit Time for Different Sensing Methodologies of Arterial Waveforms. IEEE Access 11: 33928-33933 (2023) - [j35]Olibhéar McAlister
Ventricular fibrillation waveform properties influenced by thoracic impedance guided chest compressions in a porcine model. Comput. Methods Programs Biomed. 241: 107780 (2023) - [j34]Niamh McCallan
Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review. Expert Syst. Appl. 234: 121040 (2023) - [j33]Lu Bai
Upper Limb Position Tracking with a Single Inertial Sensor Using Dead Reckoning Method with Drift Correction Techniques. Sensors 23(1): 360 (2023) - [j32]Omar Escalona
Robust Arm Impedocardiography Signal Quality Enhancement Using Recursive Signal Averaging and Multi-Stage Wavelet Denoising Methods for Long-Term Cardiac Contractility Monitoring Armbands. Sensors 23(13): 5892 (2023) - [c76]Peter Doggart
Identifying Noisy ECG Signals in Large Datasets Using a Temporal Convolutional Neural Network Trained to Estimate Pseudo-SNR. CinC 2023: 1-4 - [c75]Daniel Guldenring, Dewar D. Finlay, Raymond R. Bond, Alan Kennedy, Peter Doggart
Influence of the Training Set Composition on the Estimation Performance of Linear ECG-Lead Transformations. CinC 2023: 1-4 - [c74]Olibhéar McAlister, Adam Harvey, Paul Crawford
Characterising Resuscitation Events Using Wavelet Transforms of Digital Stethoscope Recordings During Cardiac Arrest. CinC 2023: 1-4 - [c73]Niamh McCallan, Scot Davidson, Kok Yew Ng
Rebalancing Techniques for Asynchronously Distributed EEG Data to Improve Automatic Seizure Type Classification. CISS 2023: 1-6 - 2022
- [j31]Khaled Rjoob, Raymond R. Bond, Dewar D. Finlay, Victoria McGilligan, Stephen J. Leslie, Ali Rababah
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications. Artif. Intell. Medicine 132: 102381 (2022) - [j30]Omar Escalona
Armband Sensors Location Assessment for Left Arm-ECG Bipolar Leads Waveform Components Discovery Tendencies around the MUAC Line. Sensors 22(19): 7240 (2022) - [c72]Peter Doggart
Automated Identification of Label Errors in Large Electrocardiogram Datasets. CinC 2022: 1-4 - [c71]Daniel Guldenring, Ali Rababah
Influence of the Training Set Size on the Subject-to-Subject Variability of the Estimation Performance of Linear ECG-Lead Transformations. CinC 2022: 1-4 - [c70]Alan Kennedy, Dewar D. Finlay, Raymond R. Bond, Daniel Guldenring, James McLaughlin, Chris Crockford:
AI-Enabled ECG Combined with Dry Electrode Sensors for Population-Based Screening of Atrial Fibrillation. CinC 2022: 1-4 - 2021
- [j29]Ali S. Rababah
The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity. Comput. Biol. Medicine 136: 104666 (2021) - [j28]Michael R. Jennings
Code-free cloud computing service to facilitate rapid biomedical digital signal processing and algorithm development. Comput. Methods Programs Biomed. 211: 106398 (2021) - [j27]Min Jing
COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps. J. Biomed. Informatics 122: 103905 (2021) - [c69]Niamh McCallan, Scot Davidson, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin:
Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm. APSIPA ASC 2021: 1269-1276 - [c68]Daniel Guldenring, Ali Rababah
Estimating the Minimal Size of Training Datasets Required for the Development of Linear ECG-Lead Transformations. CinC 2021: 1-4 - [c67]Michael R. Jennings
Coefficients for the Derivation of an ST Sensitive Patch Based Lead System from the 12 Lead Electrocardiogram. CinC 2021: 1-4 - [c66]Susan Quinn, Raymond R. Bond, Mark P. Donnelly, Shirley Davey, James McLaughlin, Dewar D. Finlay:
A Review of Covid-19 Symptom Checker Mobile Applications. HCI (39) 2021: 591-598 - [i1]Scot Davidson, Niamh McCallan, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin:
Seizure Classification Using Parallel Genetic Naive Bayes Classifiers. CoRR abs/2110.01742 (2021) - 2020
- [j26]Abrar Ahmad, Adnan Ahmad Cheema
A survey of radio propagation channel modelling for low altitude flying base stations. Comput. Networks 171: 107122 (2020) - [j25]Philip A. Catherwood
Recovery of Incapacitated Commercial Delivery Drones Using LPWAN Technology. IEEE Intell. Transp. Syst. Mag. 12(2): 6-19 (2020) - [c65]Khaled Rjoob, Raymond R. Bond, Dewar D. Finlay, Victoria McGilligan, Stephen J. Leslie, Ali Rababah
Towards Explainable Artificial Intelligence and Explanation User Interfaces to Open the 'Black Box' of Automated ECG Interpretation. AVI-BDA/ITAVIS@AVI 2020: 96-108 - [c64]Min Jing
Detection and Categorisation of Multilevel High-sensitivity Cardiovascular Biomarkers from Lateral Flow Immunoassay Images via Recurrent Neural Networks. BIOIMAGING 2020: 177-183 - [c63]Daniel Guldenring, Ali Rababah
Regression or Pseudo-Inverse - Which Method Should be Preferred When Developing Inverse Linear ECG-Lead Transformations? CinC 2020: 1-4 - [c62]Michael R. Jennings
Machine Learning Approach to Assess the Performance of Patch Based Leads in the Detection of Ischaemic Electrocardiogram Changes. CinC 2020: 1-4 - [c61]Michael R. Jennings
Coefficients for the Derivation of Posterior and Right Sided Chest Leads From the 12-lead Electrocardiogram. CinC 2020: 1-4 - [c60]Fabiola De Marco
Classification of Premature Ventricular Contraction Using Deep Learning. CinC 2020: 1-4 - [c59]Min Jing
Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping. ICIP 2020: 365-369
2010 – 2019
- 2019
- [j24]Ghalib Muhammad Waqas Janjua
A Low-Cost Tonometer Alternative: A Comparison Between Photoplethysmogram and Finger Ballistocardiogram and Validation Against Tonometric Waveform. IEEE Access 7: 142787-142795 (2019) - [j23]Jonathan Currie, Raymond R. Bond
Wearable technology-based metrics for predicting operator performance during cardiac catheterisation. Int. J. Comput. Assist. Radiol. Surg. 14(4): 645-657 (2019) - [j22]Cathal Breen, Raymond R. Bond
A clinical decision support tool to assist with the interpretation of the 12-lead electrocardiogram. Health Informatics J. 25(1) (2019) - [c58]Pardis Biglarbeigi
Early Prediction of Sepsis Considering Early Warning Scoring Systems. CinC 2019: 1-4 - [c57]Rob Brisk, Raymond R. Bond, Dewar D. Finlay, David J. McEneaney:
Personal ECG Devices: How Will Healthcare Systems Cope? A Single Centre Case Study. CinC 2019: 1-4 - [c56]Daniel Guldenring, Dewar D. Finlay, Alan Kennedy
The Effects of 40 Hz Low-Pass Filtering on the Magnitude of the Spatial Ventricular Gradient. CinC 2019: 1-4 - [c55]Michael R. Jennings
ST Changes Observed in Short Spaced Bipolar Leads Suitable for Patch Based Monitoring. CinC 2019: 1-4 - [c54]Niamh McCallan, Dewar D. Finlay, Pardis Biglarbeigi
Wearable Technology: Signal Recovery of Electrocardiogram From Short Spaced Leads in the Far-Field Using Discrete Wavelet Transform Based Techniques. CinC 2019: 1-4 - [c53]Khaled Rjoob, Raymond R. Bond, Dewar D. Finlay, Victoria McGilligan, Stephen J. Leslie, Aleeha Iftikhar, Daniel Guldenring, Ali Rababah
Machine Learning Improves the Detection of Misplaced V1 and V2 Electrodes During 12-Lead Electrocardiogram Acquisition. CinC 2019: 1-4 - [c52]Jonathan Gay, Victoria Simms, Raymond R. Bond, Dewar D. Finlay, Helen C. Purchase
An Audit Tool for Assessing the Visuocognitive Design of Infographics. ECCE 2019: 1-5 - [c51]Ali Rababah
Interpolating Low Amplitude ECG Signals Combined with Filtering According to International Standards Improves Inverse Reconstruction of Cardiac Electrical Activity. FIMH 2019: 112-120 - [c50]Raymond R. Bond, Maurice D. Mulvenna, Hui Wan, Dewar D. Finlay, Alexander Wong, Ansgar Koene, Rob Brisk, Jennifer Boger, Tameem Adel:
Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making. RoCHI 2019: 2-9 - 2018
- [j21]Jonathan Currie, Raymond R. Bond
Eye Tracking the Visual Attention of Nurses Interpreting Simulated Vital Signs Scenarios: Mining Metrics to Discriminate Between Performance Level. IEEE Trans. Hum. Mach. Syst. 48(2): 113-124 (2018) - [c49]Olibhéar McAlister, Daniel Guldenring, Dewar D. Finlay, Raymond R. Bond
CPR Guideline Chest Compression Depths May Exceed Requirements for Optimal Physiological Response. CinC 2018: 1-4 - [c48]Ali Rababah
An Adaptive Laplacian Based Interpolation Algorithm for Noise Reduction in Body Surface Potential Maps. CinC 2018: 1-4 - 2017
- [j20]Tomás Novotný
The role of computerized diagnostic proposals in the interpretation of the 12-lead electrocardiogram by cardiology and non-cardiology fellows. Int. J. Medical Informatics 101: 85-92 (2017) - [c47]Raymond R. Bond
UX-Handle: A Cloud-based System to Streamline Usability Testing Analytics. BCS HCI 2017 - [c46]Paul F. Brennan, Dewar D. Finlay, Mark S. Spence, Agnes Awuah, James McLaughlin
Cardiac-gated Slit Lamp Videography as a Novel Approach to Assessing a Microcirculatory Network. CinC 2017 - [c45]Andrew W. Cairns, Raymond R. Bond
Parsing HL7 aECG Files and Segmenting Leads for Interactive Progressive-based Interpretation of the 12-Lead Electrocardiogram. CinC 2017 - [c44]Daniel Guldenring, Dewar D. Finlay, Alan Kennedy
The Effects of 0.67 Hz High-pass Filtering on the Spatial QRS-T Angle. CinC 2017 - [c43]Rohit Hadia, Daniel Guldenring, Dewar D. Finlay, Alan Kennedy
Morphology-based Detection of Premature Ventricular Contractions. CinC 2017 - [c42]Ghalib Muhammad Waqas Janjua
Novel non-invasive Pressure-Volume Loop measurement for local Pulse Wave Velocity estimation. CinC 2017 - [c41]Olibhéar McAlister, Dewar D. Finlay, Raymond R. Bond
An Investigation into the Use of the Impedance Cardiogram as a Predictor of Manual Chest Compression Efficacy. CinC 2017 - [c40]Ghalib Janjua
Wireless chest wearable vital sign monitoring platform for hypertension. EMBC 2017: 821-824 - 2016
- [j19]Andrew W. Cairns, Raymond R. Bond
A computer-human interaction model to improve the diagnostic accuracy and clinical decision-making during 12-lead electrocardiogram interpretation. J. Biomed. Informatics 64: 93-107 (2016) - [j18]Philip A. Catherwood, Dewar D. Finlay
Intelligent Subcutaneous Body Area Networks: Anticipating Implantable Devices. IEEE Technol. Soc. Mag. 35(3): 73-80 (2016) - [j17]Alan Kennedy
Detecting the Elusive P-Wave: A New ECG Lead to Improve the Recording of Atrial Activity. IEEE Trans. Biomed. Eng. 63(2): 243-249 (2016) - [c39]Raymond R. Bond, Peter O'Hare, Hannah Torney, Laura Davis, Bruno Delafont, Hannah McReynolds, Anna McLister, Ben McCartney, Rebecca Di Maio, Dewar D. Finlay, Daniel Guldenring, James McLaughlin, David J. McEneaney:
Using Machine Learning to Predict if a Profiled Lay Rescuer can Successfully Deliver a Shock using a Public Access Automated External Defibrillator? CinC 2016 - [c38]Andrew W. Cairns, Raymond R. Bond, Dewar D. Finlay, Daniel Guldenring:
An Annotation Driven Rule-based Algorithm for Suggesting Multiple 12-lead Electrocardiogram Interpretations. CinC 2016 - [c37]Ronald Cloughley, Raymond R. Bond, Dewar D. Finlay, Daniel Guldenring, James McLaughlin:
An Interactive Clinician-friendly Query Builder for Decision Support During ECG Interpretation. CinC 2016 - [c36]Jonathan Currie, Raymond R. Bond, Paul J. McCullagh, Pauline Black, Dewar D. Finlay, Aaron J. Peace:
An Eye-Tracking Assessment of Coronary Care Nurses during the Interpretation of Patient Monitoring Scenarios. CinC 2016 - [c35]Daniel Guldenring, Dewar D. Finlay, Raymond R. Bond, Alan Kennedy, James McLaughlin, Kieran Moran:
The Effects of 40 Hz Low-pass Filtering on the Spatial QRS-T Angle. CinC 2016 - [c34]Alan Kennedy, Dewar D. Finlay, Daniel Guldenring, Raymond R. Bond, James McLaughlin, Keiran Moran:
Optimisation of Electrode Placement for New Ambulatory ECG Monitoring Devices. CinC 2016 - 2015
- [j16]Raymond R. Bond
Multi-faceted informatics system for digitising and streamlining the reablement care model. J. Biomed. Informatics 56: 30-41 (2015) - [c33]Daniel Guldenring, Dewar D. Finlay
On the derivation of the spatial QRS-T angle from Mason-Likar leads I, II, V2 and V5. CinC 2015: 165-168 - [c32]Andrew W. Cairns, Raymond R. Bond
Interactive Progressive-based Approach to Aid the Human Interpretation of the 12-lead Electrocardiogram. CinC 2015: 197-200 - [c31]Philip A. Catherwood, David Branagh
Future Directions of Power Sources for Ambulatory ECG Monitors. CinC 2015: 405-408 - [c30]Raymond R. Bond
Evaluating the Human-Computer Interaction of 'ECGSim': A Virtual Simulator to Aid Learning in Electrocardiology. CinC 2015: 409-412 - [c29]Jonathan Currie, Raymond R. Bond
VitalSimML- A Well-Formed Data Structure to Capture Patient Monitoring Scenarios to Facilitate the Training of Nurses via Computer-Based Simulation. CinC 2015: 421-424 - [c28]Alan Kennedy
The Accuracy of Beat-Interval Based Algorithms for Detecting Atrial Fibrillation. CinC 2015: 893-896 - [c27]Dewar D. Finlay
The Effects of Electrode Placement on an Automated Algorithm for Detecting ST Segment Changes on the 12-Lead ECG. CinC 2015: 1161-1164 - [c26]Rebekah Hunter, Mark P. Donnelly, Dewar D. Finlay
From User Requirements to Data: An XML Standard for Structuring Events in Monitored Environments. ICOST 2015: 116-126 - [c25]Philip A. Catherwood, Dewar D. Finlay
Subcutaneous body area networks: A SWOT analysis. ISTAS 2015: 1-8 - 2014
- [j15]Raymond R. Bond
A usability evaluation of medical software at an expert conference setting. Comput. Methods Programs Biomed. 113(1): 383-395 (2014) - [c24]Elizabeth Sarah Martin, Chris D. Nugent
Diagnosis of the Electrocardiogram Using a Smartphone. CBMS 2014: 491-492 - [c23]Dewar D. Finlay, Daniel Guldenring, Raymond R. Bond, Michael J. Daly:
An Algorithm for the Detection of ST Segment Elevation Relating to Induced Ischemia in Body Surface Potential Maps. CinC 2014: 361-364 - [c22]Raymond R. Bond, Dewar D. Finlay, Daniel Guldenring:
Internet based ST Map Software: A Web Service, a Decision Support System and an Educational Tool. CinC 2014: 373-376 - [c21]Daniel Guldenring, Dewar D. Finlay, Raymond R. Bond, Alan Kennedy, James McLaughlin:
The Accuracy of the EASI-Derived Spatial QRS-T Angle. CinC 2014: 393-396 - [c20]Alan Kennedy, Dewar D. Finlay, Daniel Guldenring, James McLaughlin:
ECG Recording Sites for Improving Signal-to-Noise Ratio during Atrial Depolarisation. CinC 2014: 581-584 - 2013
- [j14]Heather McDonald, Chris D. Nugent, Dewar D. Finlay, George Moore, William Burns, Josef Hallberg:
Assessing the Impact of the homeML Format and the homeML Suite within the Research Community. J. Univers. Comput. Sci. 19(17): 2559-2576 (2013) - [j13]Ian Cleland
Optimal Placement of Accelerometers for the Detection of Everyday Activities. Sensors 13(7): 9183-9200 (2013) - [c19]Elizabeth Sarah Martin, Dewar D. Finlay, Chris D. Nugent, Raymond R. Bond, Cathal Breen:
An Interactive Tool for the Evaluation of ECG Visualisation Formats. CinC 2013: 779-782 - 2012
- [c18]Daniel Guldenring
Transformation of the Mason-Likar 12-lead electrocardiogram to the Frank vectorcardiogram. EMBC 2012: 677-680 - [c17]William P. Burns, Chris D. Nugent
Evaluation of a technology enabled garment for older walkers. EMBC 2012: 2100-2103 - [c16]Ian Cleland, Chris D. Nugent
Assessment of Custom Fitted Heart Rate Sensing Garments whilst undertaking Everyday Activities. ICOST 2012: 124-131 - [c15]William P. Burns, Chris D. Nugent
A Smart Garment for Older Walkers. ICOST 2012: 258-261 - [c14]Heather McDonald, Chris D. Nugent
An Approach for the Creation of Accessible and Shared Datasets. UCAmI 2012: 224-232 - 2011
- [j12]Raymond R. Bond
A review of ECG storage formats. Int. J. Medical Informatics 80(10): 681-697 (2011) - [j11]Laura Cunningham, S. S. Mason, Chris D. Nugent
Home-Based Monitoring and Assessment of Parkinson's Disease. IEEE Trans. Inf. Technol. Biomed. 15(1): 47-53 (2011) - [c13]Ian Cleland, Chris D. Nugent
Effects of BMI and abdominal volume on the accuracy of step count obtained from a tri-axial accelerometer. EMBC 2011: 3656-3659 - [c12]Heather Anne McDonald, Chris D. Nugent
A web based tool for storing and visualising data generated within a smart home. EMBC 2011: 5303-5306 - [c11]Leo Galway, Shuai Zhang
Utilizing Wearable Sensors to Investigate the Impact of Everyday Activities on Heart Rate. ICOST 2011: 184-191 - [c10]Paul J. McCullagh
Professional Development of Health Informatics in Northern Ireland. MIE 2011: 218-222 - [c9]Nicola Armstrong, Chris D. Nugent
Inactivity Monitoring for People with Alzheimer's Disease Using Smartphone Technology. MobiHealth 2011: 313-321 - 2010
- [j10]Nicola Armstrong, Chris D. Nugent
Using smartphones to address the needs of persons with Alzheimer's disease. Ann. des Télécommunications 65(9-10): 485-495 (2010) - [j9]Raymond R. Bond
XML-BSPM: an XML format for storing Body Surface Potential Map recordings. BMC Medical Informatics Decis. Mak. 10: 28 (2010) - [j8]Dewar D. Finlay
Eigenleads: ECG leads for maximizing information capture and improving SNR. IEEE Trans. Inf. Technol. Biomed. 14(1): 69-78 (2010) - [c8]Shuai Zhang
Deriving Relationships between Physiological Change and Activities of Daily Living Using Wearable Sensors. S-CUBE 2010: 235-250
2000 – 2009
- 2009
- [c7]Laura Cunningham, Chris D. Nugent
Computer-Based Assessment of Bradykinesia, Akinesia and Rigidity in Parkinson's Disease. ICOST 2009: 1-8 - [c6]Nicola Armstrong, Chris D. Nugent
Mapping User Needs to Smartphone Services for Persons with Chronic Disease. ICOST 2009: 25-31 - 2008
- [j7]Mark P. Donnelly, Chris D. Nugent
Intelligent Data Analysis for the Classification of Body Surface Potential Maps. Int. J. Comput. Intell. Appl. 7(3): 249-263 (2008) - [j6]Chris D. Nugent
Editorial Home Automation as a Means of Independent Living. IEEE Trans Autom. Sci. Eng. 5(1): 1-9 (2008) - [j5]Dewar D. Finlay
Optimal Electrocardiographic Lead Systems: Practical Scenarios in Smart Clothing and Wearable Health Systems. IEEE Trans. Inf. Technol. Biomed. 12(4): 433-441 (2008) - [c5]Chris D. Nugent
Assessing the impact of individual sensor reliability within smart living environments. CASE 2008: 685-690 - [c4]Liming Chen
Using Event Calculus for Behaviour Reasoning and Assistance in a Smart Home. ICOST 2008: 81-89 - 2007
- [j4]Chris D. Nugent
The next generation of mobile medication management solutions. Int. J. Electron. Heal. 3(1): 7-31 (2007) - [j3]Rose-Marie Dröes
Healthcare Systems and Other Applications. IEEE Pervasive Comput. 6(1): 59-63 (2007) - [c3]Josef Hallberg, Chris D. Nugent
HomeRuleML - A Model for the Exchange of Decision Support Rules Within Smart Environments. CASE 2007: 513-520 - [c2]Chris D. Nugent, Dewar D. Finlay, Richard J. Davies, Haiying Wang, Huiru Zheng, Josef Hallberg, Kåre Synnes, Maurice D. Mulvenna
homeML - An Open Standard for the Exchange of Data Within Smart Environments. ICOST 2007: 121-129 - 2006
- [j2]Dewar D. Finlay
Selection of optimal recording sites for limited lead body surface potential mapping: A sequential selection based approach. BMC Medical Informatics Decis. Mak. 6: 9 (2006) - [j1]Mark P. Donnelly, Chris D. Nugent
Diagnosing Old MI by Searching for a Linear Boundary in the Space of Principal Components. IEEE Trans. Inf. Technol. Biomed. 10(3): 476-483 (2006) - 2005
- [c1]Mark P. Donnelly, Chris D. Nugent, Dewar D. Finlay, Niall Rooney, Norman D. Black:
Optimisation of Neural Network Training through Pre-Establishment of Synaptic Weights Applied to Body Surface Mapping Classification. CBMS 2005: 303-308
Coauthor Index
[j37] [j35] [j33] [c76] [c75] [c74] [j31] [c72] [c71] [c70] [j28] [j27] [c68] [c66] [c65] [c63] [c62] [c61] [c60] [j23] [j22] [c58] [c57] [c56] [c55] [c53] [c52] [c51] [c50] [j21] [c49] [c48] [j20] [c47] [c45] [c44] [c43] [c41] [j19] [j17] [c39] [c38] [c37] [c36] [c35] [c34] [j16] [c33] [c32] [c30] [c29] [c28] [c27] [j15] [c24] [c23] [c22] [c21] [c19] [c18] [j12] [j9]
Michael Jennings
aka: Michael R. Jennings
aka: Michael R. Jennings
James McLaughlin 0001
aka: James A. D. McLaughlin
aka: James A. D. McLaughlin
Ali Rababah
aka: Ali S. Rababah
aka: Ali S. Rababah
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