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“I Can Do This”: Resilience Of Women Students In Engineering And Technology Courses In Portugal, Bill Williams, Shannon Chance
“I Can Do This”: Resilience Of Women Students In Engineering And Technology Courses In Portugal, Bill Williams, Shannon Chance
Research Outputs: 2025-Present
To understand the factors that influenced female students to choose their degree programs and complete them successfully, we gathered data from 11 women undergraduate students in Chemical Engineering, Biotechnology, and Construction Management programs at a Portuguese polytechnic. All participants completed their courses within the two years following the interviews. The two authors analyzed the data gathered via interviews with individual students using thematic analysis and present four generated themes along with their implications.The findings suggest that further research is warranted on the role of short-cycle programs within the Portuguese polytechnic sector in providing routes to help young women overcome obstacles …
Magnetite-Assisted Capture Affinity, Concentration Dependence, And Magnetic Extraction Rate Of Bacillus Cereus, Gouri Nilakshika Atapattu, Michelle Giltrap, Furong Tian
Magnetite-Assisted Capture Affinity, Concentration Dependence, And Magnetic Extraction Rate Of Bacillus Cereus, Gouri Nilakshika Atapattu, Michelle Giltrap, Furong Tian
Research Outputs: 2025-Present
The interactions between magnetic nanoparticles (MNP) and bio-surfaces have impacted key industries such as food, biomedicine, water purification, and agriculture. Bacteria, with their diverse bio-surfaces, offer potential for such interactions. Yet, there is a paucity of research interpreting the dynamics behind bacteria–nanoparticle interactions. Advancing this knowledge could improve the industrial applications. Current research gaps include information about the magnetic nanoparticle-assisted concentration dependence of Bacillus cereus and determination of the rate of bacterial extraction by MNPs such as iron oxide nanoparticles (IONPs). Using magnetic IONPs as the choice of MNP, this study aimed to investigate in vitro the interactions between model …
A Review Of The Efficacy Of Prostate Cancer Therapies Against Castration-Resistant Prostate Cancer, Shengxin Zhang, Tao Zhang, Gemma Kinsella, James Curtin
A Review Of The Efficacy Of Prostate Cancer Therapies Against Castration-Resistant Prostate Cancer, Shengxin Zhang, Tao Zhang, Gemma Kinsella, James Curtin
Research Outputs: 2025-Present
The standard treatments for prostate cancer (PCa) include chemotherapy, hormone therapy, targeted therapies based on androgen receptor (AR) and/or gonadotropin-releasing hormone (GnRH) receptor antagonists, and radiation therapy. But PCa therapeutic resistance remains an unsolved challenge, leading to progression to castration-resistant prostate cancer (CRPC). Emerging PCa therapies – including poly(ADP-ribose) polymerase (PARP) inhibitors, AR crosstalk signalling pathway inhibitors, B-cell lymphoma 2 (BCL-2) inhibitors, cyclin-dependent kinase 4 (CDK4)/CDK6 inhibitors, CRISPR/Cas9, epigenetic inhibitors, and nanotechnology-based drug-delivery approaches – provide promising targeted solutions. Targeted protein degradation therapy, particularly AR degradation therapies, effectively inhibits resistance at its source. This review summarises the established and emerging …
Development Of Novel Anticancer Pyrazolopyrimidinones Targeting Glioblastoma, Kate Byrne, Natalia Bednarz, Ciara Mcevoy, James Curtin, John C. Stephens, Gemma Kinsella
Development Of Novel Anticancer Pyrazolopyrimidinones Targeting Glioblastoma, Kate Byrne, Natalia Bednarz, Ciara Mcevoy, James Curtin, John C. Stephens, Gemma Kinsella
Research Outputs: 2025-Present
Glioblastoma (GBM) is the most common and aggressive malignant grade IV brain tumour and is one of the most difficult types of brain cancer to treat with a high incidence of resistance to traditionally used chemotherapeutics. Pyrazolopyrimidinones are fused nitrogen-containing heterocyclic systems which are a scaffold in several bioactive drugs and drug candidates. Here, a structure activity relationship (SAR) study was performed where 23 substituted pyrazolo[1,5-α]pyrimidinones were screened for cytotoxicity against the GBM U-251 MG cell line and the non-cancerous embryonic kidney HEK293 cell line to assess their potential as anti-glioblastoma agents capable of selectivity for cancer cells. Through analogue …
Enhancing The Functional Properties Of Chitosan-Alginate Edible Films Using Spent Coffee Ground Extract For Fresh-Cut Fruit Preservation, Oghenetega Lois Orhotohwo, Paolo Lucci, Amit K. Jaiswal, Swarna Jaiswal, Deborah Pacetti
Enhancing The Functional Properties Of Chitosan-Alginate Edible Films Using Spent Coffee Ground Extract For Fresh-Cut Fruit Preservation, Oghenetega Lois Orhotohwo, Paolo Lucci, Amit K. Jaiswal, Swarna Jaiswal, Deborah Pacetti
Research Outputs: 2025-Present
The developed edible film, formulated using sodium alginate, mushroom-derived chitosan, and bioactive-rich coffee ground extract, offers an environmentally friendly approach to food preservation. By utilizing agro-industrial byproducts, the formulation demonstrates potential economic and social benefits aligned with sustainable development goals. This study developed and optimised a sustainable edible film incorporating spent coffee ground extract (SCGE) as an active ingredient. The formulation was optimised through response surface methodology employing a central composite design, wherein chitosan (0.5–2.5 % w/v), sodium alginate (0.5–2.5 % w/v), glycerol (0.5–2.5 % v/v), and SCGE (4–12 % v/v) were systematically varied. The optimal film (1.49 % chitosan, …
Development Of Optimized Bioactive Nanocomposite Films Using A Central Composite Design For Control Of Microbial Contamination In Stored Rice, Tofa Begum, Peter A. Follett, Muhammed R. Sharaby, Shiv Shankar, Stephane Salmieri, Monique Lacroix
Development Of Optimized Bioactive Nanocomposite Films Using A Central Composite Design For Control Of Microbial Contamination In Stored Rice, Tofa Begum, Peter A. Follett, Muhammed R. Sharaby, Shiv Shankar, Stephane Salmieri, Monique Lacroix
Research Outputs: 2025-Present
Poly(butylene adipate-co-terephthalate) (PBAT) and polylactic acid (PLA)-based nanocomposite films were developed as active packaging materials for stored rice. The composition and synergistic effect of the active formulations (AF-1 and AF-2), cellulose nanocrystals (CNC), and glycerol (Gly) as independent variables were tested to reach the optimal antimicrobial nanocomposite films using response surface methodology (RSM) employing a central composite design (CCD). The inhibitory capacity (IC, %) of the developed films as a dependent variable against two bacterial and three fungal strains was measured using the agar volatilization assay. The ANOVA results showed a perfect fit of the regression models for the response, …
Bioinspired Gradient Porous Hip Implant Design To Prevent Stress Shielding Using Stress Mapping And Bone Remodeling Theory, Babak Ziaie, Xavier Velay, Waqas Saleem
Bioinspired Gradient Porous Hip Implant Design To Prevent Stress Shielding Using Stress Mapping And Bone Remodeling Theory, Babak Ziaie, Xavier Velay, Waqas Saleem
Research Outputs: 2025-Present
Total Hip Arthroplasty (THA) is a widely performed surgical procedure, with increasing frequency worldwide. Despite its high success rate, many patients require revision surgeries due to complications such as aseptic loosening, primarily resulting from stress shielding, cortical hypertrophy, and micromotion. These issues often stem from a mechanical mismatch between the bone and the solid dense implant, particularly a mismatch in stiffness. A potential solution lies in the use of porous or lattice structures in implant design, which offer lower stiffness and improved biocompatibility by facilitating bone ingrowth, cell seeding, and vascularization. Among these designs, Triply Periodic Minimal Surfaces (TPMS), especially …
Imi—Interventions For Controlling Myopia Onset And Progression 2025, Mark A. Bullimore, Kathryn J. Saunders, Rigmor C. Baraas, David A. Berntsen, Zhi Chen, Audrey Wei Lin Chia, So Goto, Jun Jiang, Weizhong Lan, Nicola S. Logan, Raymond P. Najjar, Jan Roelof Polling, Scott A. Read, Emily C. Woodman-Pieterse, Noémi Széll, Pavan K. Verkicharla, Pei Chang Wu, Xiaoying Zhu, James Loughman, Manbir Nagra, John R. Phillips, Huy D.M. Tran, Fuensanta A. Vera-Diaz, Jason Yam, Yue M. Liu, Sarah E. Singh, Christine F. Wildsoet
Imi—Interventions For Controlling Myopia Onset And Progression 2025, Mark A. Bullimore, Kathryn J. Saunders, Rigmor C. Baraas, David A. Berntsen, Zhi Chen, Audrey Wei Lin Chia, So Goto, Jun Jiang, Weizhong Lan, Nicola S. Logan, Raymond P. Najjar, Jan Roelof Polling, Scott A. Read, Emily C. Woodman-Pieterse, Noémi Széll, Pavan K. Verkicharla, Pei Chang Wu, Xiaoying Zhu, James Loughman, Manbir Nagra, John R. Phillips, Huy D.M. Tran, Fuensanta A. Vera-Diaz, Jason Yam, Yue M. Liu, Sarah E. Singh, Christine F. Wildsoet
Research Outputs: 2025-Present
Myopia is recognized as a significant public health problem, particularly in East and Southeast Asia. This has led to the development and evaluation of a range of interventions to slow its progression and delay its onset. Since the publication of the 2019 International Myopia Institute’s review of interventions for controlling myopia onset and progression, treatment options have continued to grow in number. This article reviews the efficacy of such interventions under five categories: optical, pharmacological, environmental (behavioral), colored light, and surgical. In summarizing the efficacy of mature technologies, only randomized controlled trials were considered, although such data are very limited …
Cnns And Transformers For Visual Understanding: From Feature Alignment To Image Captioning, Xuehao Liu
Cnns And Transformers For Visual Understanding: From Feature Alignment To Image Captioning, Xuehao Liu
Doctoral
Deep learning has developed rapidly since the introduction of Deep Belief Networks during the past decade. As an area of machine learning, it still has many open challenges. Among these open challenges is the issue of transparency, with deep learning models known as black boxes. Both explainability of a model for understanding the decision making process, and the transparency of the relationship between the input and output are crucial for understanding a model. The understanding of models can build trust between AI systems and humans, verify models behavior, and identify potential biases or errors.
Navigating Human-Robotic Interaction Challenges In Teaching-By-Demonstration, Shakra Mehak
Navigating Human-Robotic Interaction Challenges In Teaching-By-Demonstration, Shakra Mehak
Doctoral
The advancement in interdisciplinary research domains, like robotics and HRI, presents a challenging task. It is an exception rather than the norm for research to extend beyond the boundaries of individual disciplines and encompass the challenges presented by other fields of study. This project is part of ”Collaborative Intelligence for Safety Critical Systems” (CISC), which is a Marie Curie Training Network funded by the European Commission to hire and train researchers with the expertise and skillset necessary to carry out the major tasks required to develop a Collaborative Intelligence system. The program encompasses four overarching themes: Artificial Intelligence (AI), Human …
From Pathological Bifurcations To Meaningful Planetary Change Agents, Brad Tabas, Linda Gardelle, Klara Kovesi, Una Beagon
From Pathological Bifurcations To Meaningful Planetary Change Agents, Brad Tabas, Linda Gardelle, Klara Kovesi, Una Beagon
Research Outputs: 2025-Present
This chapter discusses and analyzes the phenomenon of pathological bifurcation among French engineering students. Pathological bifurcation occurs when sustainable development succeeds in inspiring student activism, but that passion expresses itself destructively. The chapter answers two questions. First, we interrogate whether pathological bifurcation is a product of lacunae with current SD education practices. Having answered affirmatively, we reflect on how to treat this diagnosis. Our suggestion is that if SDG related curricular innovations are desirable, so too is an extensive grounding in the traditional teachings of what we call planetary humanities. These are lessons drawn from around planet inculcating the very …
Evaluating Geoai-Generated Data For Maintaining Vgi Maps, Lasith Niroshan, James D. Carswell
Evaluating Geoai-Generated Data For Maintaining Vgi Maps, Lasith Niroshan, James D. Carswell
Research Outputs: 2025-Present
Geospatial Artificial Intelligence (GeoAI) offers a scalable solution for automating the generation and updating of volunteered geographic information (VGI) maps—addressing the limitations of manual contributions to crowd-source mapping platforms such as OpenStreetMap (OSM). This study evaluates the accuracy of GeoAI-generated buildings specifically, using two Generative Adversarial Network (GAN) models. These are OSM-GAN—trained on OSM vector data and Google Earth imagery—and OSi-GAN—trained on authoritative “ground truth” Ordnance Survey Ireland (OSi) vector data and aerial orthophotos. Altogether, we assess map feature completeness, shape accuracy, and positional accuracy and conduct qualitative visual evaluations using live OSM database features and OSi map data as …
‘Ein Eigentümlicher Apparat’/ An Extraordinary Machine?': An Experiment Feeding Kafka’S ‘In Der Strafkolonie’ (‘In The Penal Colony’) Into Machine Translation Engines And Generative Ai, Dr Michael Kane
Research Outputs: 2025-Present
No abstract provided.
Machine Learning Applications In Epigenomics And Its Association With Health And Disease, Trevor Doherty
Machine Learning Applications In Epigenomics And Its Association With Health And Disease, Trevor Doherty
Doctoral
Epigenetic modifications can lead to altered phenotypes without a change in the DNA sequence itself. Disrupted gene expression regulated by epigenetic processes can result in cancers, autoimmune diseases and various other maladies. Machine learning (ML) involves the use of algorithms and models which are trained to learn patterns in data, and has demonstrated remarkable success in solving diverse, complex challenges. Epigenomic studies, such as those that use DNA methylation (DNAm) data, increasingly make use of ML techniques to process extremely high dimensional data obtained from high throughput platforms e.g., DNAm arrays. These datasets suffer from the curse of dimensionality, increased …
Improving Visual Inspection Performance During Pre-Flight Visual Inspections By Aircraft Maintenance Technicians., Patrick Codd
Improving Visual Inspection Performance During Pre-Flight Visual Inspections By Aircraft Maintenance Technicians., Patrick Codd
Doctoral
Visual inspection is a critical task in aircraft maintenance and is the predominant inspection technique used in the global aviation sector. For safety reasons, visual inspections by Aircraft Maintenance Technicians are routinely conducted on a daily basis during pre-flight inspections. Its significance becomes evident when considering the potential consequences of Aircraft Maintenance Technicians not seeing observable defects during visual inspections. For example, an aircraft crash landing in 1989 resulted in 111 fatalities and was attributed to a visual inspection failure. The industrial quality control literature also illustrates the varying accuracy for the observation of defects and hazards, underscoring the inherent …
Modelling Leaching Using C-S-H Solid Solutions: Applied Sciences, Niall Holmes, Mark Tyrer
Modelling Leaching Using C-S-H Solid Solutions: Applied Sciences, Niall Holmes, Mark Tyrer
Research Outputs: 2025-Present
Leaching from cement can lead to a loss in performance and durability and can also have an environmental impact. Therefore, it is an important aspect to consider when new cements are being developed and where concrete is to be placed that could lead to the contamination of groundwater. Calibrated thermodynamic models can provide very useful predictions in a matter of seconds for any cement-based material. However, such models need to include accurate representations of the solid-solution nature of the C-S-H gels that are included for the incongruent dissolution of calcium and silica. This study presents the calibration of a thermodynamic …
A Comprehensive Review Of The Application Of Cold Plasma Technology In Lignocellulosic Biomass Pretreatment, Rasaq S. Abolore, Swarna Jaiswal, Amit K. Jaiswal
A Comprehensive Review Of The Application Of Cold Plasma Technology In Lignocellulosic Biomass Pretreatment, Rasaq S. Abolore, Swarna Jaiswal, Amit K. Jaiswal
Articles
Lignocellulosic biomass (LCB) is a promising feedstock for the sustainable production of biofuels and other biobased products, owing to its abundance, low cost, and minimal competition with food crops for resources. It is mainly composed of cellulose, hemicellulose, and lignin, forming a complex biomass matrix. Its utilization is hindered by its complex structure and pretreatment is required to break down the chemical resistance caused by the strong association between the cellulose, hemicellulose, and lignin structures. Conventional methods such as acid and alkali pretreatment are used frequently but they require the use of high temperatures, high pressure, and corrosive chemicals. This …
Understanding Social Biases In Large Language Models, Ojasvi Gupta, Stefano Marrone, Francesco Gargiulo, Rajesh Jaiswal, Lidia Marassi
Understanding Social Biases In Large Language Models, Ojasvi Gupta, Stefano Marrone, Francesco Gargiulo, Rajesh Jaiswal, Lidia Marassi
Research Outputs: 2025-Present
Background/Objectives: Large Language Models (LLMs) like ChatGPT, LLAMA, and Mistral are widely used for automating tasks such as content creation and data analysis. However, due to their training on publicly available internet data, they may inherit social biases. We aimed to investigate the social biases (i.e., ethnic, gender, and disability biases) in these models and evaluate how different model versions handle them. Methods: We instruction-tuned popular models (like Mistral, LLAMA, and Gemma), and for this we curated a dataset constructed by collecting and modifying diverse data from various public datasets. Prompts were run through a controlled pipeline, and responses were …
Bayesian Networks For Safety-Critical Systems, Joseph Mietkiewicz
Bayesian Networks For Safety-Critical Systems, Joseph Mietkiewicz
Theses
This thesis addresses a operational challenge in modern industrial operations: the increasing complexity of systems and the consequent cognitive burden on operators. As industrial technologies advance, the human-computer interface has become the primary conduit for information flow, playing a pivotal role in operational decision-making. However, the proliferation of data often leads to information overload, potentially compromising rather than enhancing operator performance. This research explores an approach to this pressing issue through the application of Bayesian networks as decision support systems in safety- critical scenarios. Our study employs a multi-faceted approach, combining theoretical modeling with empirical testing. Through collaboration with industry …
Myopia Correction, Myopia Control And Myopia Management: Definitions And Recommended Usage, International Myopia Institute (Imi), Ian Flitcroft, Mark A. Bullimore, Kate L. Gifford, Jost B. Jonas, Deborah Jones, Lyndon W. Jones, Pauline Kang, Serge Resnikoff, Jeffrey Walline, Christine F. Wildsoet
Myopia Correction, Myopia Control And Myopia Management: Definitions And Recommended Usage, International Myopia Institute (Imi), Ian Flitcroft, Mark A. Bullimore, Kate L. Gifford, Jost B. Jonas, Deborah Jones, Lyndon W. Jones, Pauline Kang, Serge Resnikoff, Jeffrey Walline, Christine F. Wildsoet
Research Outputs: 2025-Present
No abstract provided.
Wavelength Multiplexed Volume Holographic Optical Couplers To Couple Red, Green And Blue Light For Solar Collection, Dipanjan Chakraborty, Rosen Georgiev, Vincent Toal, Izabela Naydenova, Dervil Cody, Suzanne Martin
Wavelength Multiplexed Volume Holographic Optical Couplers To Couple Red, Green And Blue Light For Solar Collection, Dipanjan Chakraborty, Rosen Georgiev, Vincent Toal, Izabela Naydenova, Dervil Cody, Suzanne Martin
Research Outputs: 2025-Present
The proposed wavelength multiplexed, volume holographic optical coupler uses total internal reflection to guide incident light of a wavelength from 317nm to 700nm. The diffractive elements are recorded with 457nm (transmission holographic recording) and 532nm (reflection holographic recording) lasers in Bayfol HX 200TM photopolymer. The novelty of the device is the particular combination of diffractive optical elements designed so that they can be holographically recorded with two different wavelengths without the need for prisms to facilitate the propagation of the recording beam in the recording layer at angles exceeding the internal critical angle. and will couple three primary colours …
Microbial Solutions In Agriculture: Enhancing Soil Health And Resilience Through Bio-Inoculants And Bioremediation, Rahul Kumar, Beatrice Farda, Amedeo Mignini, Rihab Djebaili, Leonard Koolman, Alivia Paul, Subhankar Mondal, Joy M. Joel, Aditi Pandit, Periyasamy Panneerselvam, Marika Pellegrini, Debasis Mitra
Microbial Solutions In Agriculture: Enhancing Soil Health And Resilience Through Bio-Inoculants And Bioremediation, Rahul Kumar, Beatrice Farda, Amedeo Mignini, Rihab Djebaili, Leonard Koolman, Alivia Paul, Subhankar Mondal, Joy M. Joel, Aditi Pandit, Periyasamy Panneerselvam, Marika Pellegrini, Debasis Mitra
Research Outputs: 2025-Present
Soil microbes are important for maintaining agricultural ecosystems by promoting nutrient cycling, plant growth, and soil resilience. Microbial-based inoculants, such as bio-inoculants and bioremediation agents, have been identified as suitable means to promote soil health, reduce environmental deterioration, and achieve sustainable agriculture. Bio-inoculants, such as biofertilizers and biopesticides, promote nutrient availability, plant growth, and chemical input dependency reduction. Diverse microbial populations, especially plant growth-promoting bacteria (PGPB), enhance resistance by promoting a symbiotic association with plants and inducing natural resistance against insects. Bioremediation, the second significant microbial intervention, is the use of microorganisms for detoxifying and rehabilitating polluted soils. Methods effectively …
Doping Hybrid Photopolymerisable Glass With Bodipy Photosensitiser: An Efficient Approach To Improve Uv-Resistance, Luca Sorridente, Tatsiana Mikulchyk, Metodej Dvoracek, Mikhail A. Filatov, Izabela Naydenova, Kevin P. Murphy
Doping Hybrid Photopolymerisable Glass With Bodipy Photosensitiser: An Efficient Approach To Improve Uv-Resistance, Luca Sorridente, Tatsiana Mikulchyk, Metodej Dvoracek, Mikhail A. Filatov, Izabela Naydenova, Kevin P. Murphy
Conference Papers
The development of photosensitive materials with improved performance and extended functionality is crucial for advancing holographic technologies. This study presents the modification and characterization of a recently reported photopolymerisable glass composition, focusing on achieving an optimal balance between maximizing photosensitivity of the material during recording and minimizing the impact of UV light on the performance of the recorded holographic structure. Building on these findings, the ultimate goal is to develop UV-resistant holographic optical elements for wavefront sensing in space applications. The research approach is based on introducing a photosensitiser with weaker UV absorption than the typically used in this material …
Build Digital Annual Survey 2024 Results, Clare Eriksson, Robert Moore, Bilal Succar
Build Digital Annual Survey 2024 Results, Clare Eriksson, Robert Moore, Bilal Succar
Reports
The Build Digital Annual Survey 2024 presents a sector-wide snapshot of digital adoption and transformation across Ireland’s construction and built environment sector. Based on 137 responses, the report shows that most participating organisations have begun their digital transformation journey, with expected benefits including improved accuracy, operational efficiency, quality, cost reduction, and faster clash resolution. The findings indicate widespread use of common digital deliverables and increasing awareness of ISO 19650, CDEs, OpenBIM, and CWMF BIM requirements. However, the report also identifies persistent challenges, including skills gaps, uneven training provision, limited digital competence, and variable implementation of BIM requirements across public and …
Enhancing Trust In Ai For Healthcare: A Quantative Evaluation Of Explainable Methods In Clinical Decision Support Systems, Abdul Aziz Noor
Enhancing Trust In Ai For Healthcare: A Quantative Evaluation Of Explainable Methods In Clinical Decision Support Systems, Abdul Aziz Noor
Masters
The integration of Artificial Intelligence (AI) into healthcare has revolutionized Clinical Decision Support Systems (CDSS) by enabling sophisticated predictive capabilities. However, the opaque nature of many machine learning models, commonly referred to as "black-box" systems, poses significant challenges to their adoption in critical clinical settings where transparency, interpretability, and trust are paramount. This thesis addresses these challenges by developing a rigorous, mathematically grounded framework to evaluate Explainable AI (XAI) methods and enhance their integration into CDSS.
Carbon Nanotubes And Nanofibers As Building Blocks For The Future: Structure, Synthesis, Properties, And Functionalization Perspectives, Amin Meftahi, Mahshad Sadat Kashef Sabery, Somayeh Alibakhshi, Maureen Walsh, Mikhael Bechelany, Abanoub Naseef, Ahmed Barhoum
Carbon Nanotubes And Nanofibers As Building Blocks For The Future: Structure, Synthesis, Properties, And Functionalization Perspectives, Amin Meftahi, Mahshad Sadat Kashef Sabery, Somayeh Alibakhshi, Maureen Walsh, Mikhael Bechelany, Abanoub Naseef, Ahmed Barhoum
Research Outputs: 2025-Present
No abstract provided.
Theoretical And Experimental Investigation Of Slanted Volume Transmission Gratings For Holographic Gas Sensing, Graceson Antony, Dervil Cody, Svetlana Mintova, Izabela Naydenova
Theoretical And Experimental Investigation Of Slanted Volume Transmission Gratings For Holographic Gas Sensing, Graceson Antony, Dervil Cody, Svetlana Mintova, Izabela Naydenova
Articles
Slanted photopolymer-based diffraction gratings can undergo instant and quantifiable analyte-induced changes in both grating diffraction efficiency and peak reconstruction wavelength. This makes them an attractive option for gas sensing applications. The underlying mechanism for the sensor response is, however, poorly understood due to its complexity; the gaseous analytes produce simultaneous changes in multiple grating parameters (refractive index, thickness, refractive index modulation, and slant angle). Here, a novel and robust approach to the experimental characterization and theoretical analysis of holographic gas sensors based on slanted volume transmission gratings is presented. Slanted transmission gratings were fabricated in both undoped and MFI nanozeolite-doped …
Enhancement Of Intersystem Crossing In Asymmetrically Substituted Bodipy Photosensitizers, Mikhail Filatov, Tatsiana Mikulchyk, Maxine Hodee, Metodej Dvoracek, Venkata N.K. Mamillapalli, Aimee Sheehan, Craig Newman, Sergey M. Borisov, Daniel Escudero, Izabela Naydenova
Enhancement Of Intersystem Crossing In Asymmetrically Substituted Bodipy Photosensitizers, Mikhail Filatov, Tatsiana Mikulchyk, Maxine Hodee, Metodej Dvoracek, Venkata N.K. Mamillapalli, Aimee Sheehan, Craig Newman, Sergey M. Borisov, Daniel Escudero, Izabela Naydenova
Articles
We present a novel method to promote intersystem crossing (ISC) and triplet state formation in boron dipyrromethenes (BODIPYs) through the asymmetrical introduction of functional groups within the chromophore. This approach enables the development of new BODIPY photosensitizers without relying on the incorporation of heavy atoms or large electron-donating aromatic groups. Demonstrated on a series of 14 synthesized asymmetrical BODIPY (aBDP) compounds, it significantly enhances photosensitization efficiency compared to the reference symmetrical BODIPYs. In particular, the asymmetrical introduction of ethoxycarbonyl groups into pyrrolic rings of the BODIPY core lead to efficient ISC and singlet oxygen generation, with quantum yields reaching 0.76 …
Modelling The Formation Of Unslanted Holographic Gratings In Hybrid Photopolymer Media, Jack Lyons, Dana Mackey, Izabela Naydenova
Modelling The Formation Of Unslanted Holographic Gratings In Hybrid Photopolymer Media, Jack Lyons, Dana Mackey, Izabela Naydenova
Articles
The theoretical modelling of holographic recording in photopolymers has been an important tool in their optimisation. More complex, hybrid organic/inorganic photopolymers have been developed in pursuit of materials with higher sensitivity, low shrinkage, high dynamic range and environmental stability. Recent attempts to augment the existing models for the redistribution of inorganic nanoparticles in holographic recording were successful but there is still a knowledge gap in regards to modelling optical losses, mutual cross-diffusion, the formation of slanted holographic gratings and polymerization induced shrinkage in hybrid photopolymer media. This paper will describe a novel approach to modelling the formation of unslanted holographic …
Antennas For Emerging Satellite Services, Jakub Przepiorowski
Antennas For Emerging Satellite Services, Jakub Przepiorowski
Doctoral
The NewSpace era has revolutionized access to space, driving advancements in satellite communication (SATCOM) systems and creating demand for low-cost, compact, and high-performance user terminals. This thesis addresses these needs by developing innovative antenna solutions tailored for user terminals designed for emerging satellite constellations and satellite Internet-of-Things (S-IoT) applications.