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                  <dc:title>Smart Inspection Agents in Aircraft Hangar: AI agents for Aircraft Visual Inspection Processes</dc:title>
                  <dc:creator>Seongjun Ha (12050624)</dc:creator>
                  <dc:subject>Air transportation and freight services</dc:subject>
                  <dc:subject>Decision support and group support systems</dc:subject>
                  <dc:subject>Aircraft Maintenance</dc:subject>
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                  <dc:description>&lt;p dir="ltr"&gt;Aircraft maintenance is essential because defects naturally arise during operation. Visual inspection must be performed first, as it serves as the basis for all subsequent maintenance tasks. However, inspection quality can vary due to human factors. Therefore, the researcher intends to develop a multi-AI agent framework that delivers information at the right time and is needed to reduce errors and support consistent inspection performance.&lt;/p&gt;&lt;p dir="ltr"&gt;The multi-AI agent framework is built using UML representations of the aircraft visual inspection processes. Based on these processes, the researcher developed five AI agents:&lt;/p&gt;&lt;p dir="ltr"&gt;1. Maintenance Manual agent that retrieves maintenance manual information.&lt;/p&gt;&lt;p dir="ltr"&gt;2. Web Search agent that retrieves external information from the web, not provided in the maintenance manual.&lt;/p&gt;&lt;p dir="ltr"&gt;3. Confirmation agent that confirms technicians’ understanding of maintenance information.&lt;/p&gt;&lt;p dir="ltr"&gt;4. An anomaly detection agent that identifies deviations from trained normal images.&lt;/p&gt;&lt;p dir="ltr"&gt;5. Measurement agent that estimates defect size using reference imagery.&lt;/p&gt;&lt;p dir="ltr"&gt;These agents are integrated into a unified framework, so technicians do not need to switch between multiple tools. The framework supports the diverse needs of inspection processes through a single interface.&lt;/p&gt;&lt;p dir="ltr"&gt;The multi-AI agent framework was evaluated across multiple datasets and demonstrated promising results in supporting visual inspection processes. However, validation in real maintenance environments is still required to assess its usability and practical utility. Further research is needed to examine potential benefits that could help technicians conduct inspections more consistently and support aircraft airworthiness.&lt;/p&gt;</dc:description>
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                  <dc:title>Meta-Optical
Miniscope for Multifunctional Imaging</dc:title>
                  <dc:creator>Zhihao Zhou (4372402)</dc:creator>
                  <dc:creator>Khushboo Kumari (4672267)</dc:creator>
                  <dc:creator>Ningzhi Xie (14366295)</dc:creator>
                  <dc:creator>Shane Colburn (1400785)</dc:creator>
                  <dc:creator>Chetan Poudel (6883847)</dc:creator>
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                  <dc:subject>Neuroscience</dc:subject>
                  <dc:subject>Physiology</dc:subject>
                  <dc:subject>Evolutionary Biology</dc:subject>
                  <dc:subject>Astronomical and Space Sciences not elsewhere classified</dc:subject>
                  <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
                  <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
                  <dc:subject>total track length</dc:subject>
                  <dc:subject>replace traditional solutions</dc:subject>
                  <dc:subject>remain largely unconstrained</dc:subject>
                  <dc:subject>performance evaluations highlight</dc:subject>
                  <dc:subject>including large field</dc:subject>
                  <dc:subject>animal behavior studies</dc:subject>
                  <dc:subject>optical performance due</dc:subject>
                  <dc:subject>enhanced imaging capabilities</dc:subject>
                  <dc:subject>time imaging</dc:subject>
                  <dc:subject>optical miniscope</dc:subject>
                  <dc:subject>significantly reducing</dc:subject>
                  <dc:subject>seamlessly integrated</dc:subject>
                  <dc:subject>reduced thickness</dc:subject>
                  <dc:subject>predesigned functionalities</dc:subject>
                  <dc:subject>overall footprint</dc:subject>
                  <dc:subject>often limited</dc:subject>
                  <dc:subject>objective module</dc:subject>
                  <dc:subject>neuronal activity</dc:subject>
                  <dc:subject>miniscope tool</dc:subject>
                  <dc:subject>edof ),</dc:subject>
                  <dc:subject>diverse functionalities</dc:subject>
                  <dc:subject>depth sensitivity</dc:subject>
                  <dc:subject>complex designs</dc:subject>
                  <dc:subject>behavioral tasks</dc:subject>
                  <dc:subject>allowing animals</dc:subject>
                  <dc:subject>allow real</dc:subject>
                  <dc:subject>7 mm</dc:subject>
                  <dc:subject>5 mm</dc:subject>
                  <dc:description>Miniaturized microscopes (miniscopes)
allow real-time imaging of
neuronal activity in animal behavior studies, allowing animals to
remain largely unconstrained during behavioral tasks. Canonical designs
utilize either Gradient-Index (GRIN) lenses or a set of refractive
lenses as the objective module for excitation and collection of fluorescence.
However, GRIN lenses are often limited in optical performance due
to aberrations, whereas refractive lenses provide superior optical
performance but suffer from bulky and complex designs. Meta-optics,
which are subwavelength diffractive optical elements, have shown potential
to replace traditional solutions while also combining multiple functionalities
and significantly reducing the overall footprint and weight of a system.
In this work, we leverage the diverse functionalities that meta-optics
can enable through their design, including large field of view (FOV),
extended depth of focus (EDOF), and depth sensitivity, which expands
the miniscope tool-box. These meta-optics are seamlessly integrated
by replacing the traditional refractive lens assembly. Performance
evaluations highlight the enhanced imaging capabilities, aligned with
predesigned functionalities. Furthermore, the reduced thickness of
the meta-optics can shorten the total track length of the objective
module from 6.7 mm to 2.5 mm. These improvements have
the potential to facilitate the development of more compact and multifunctional
miniscopes.</dc:description>
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                  <dc:identifier>10.1021/acsnano.5c14175.s002</dc:identifier>
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                  <dc:title>Meta-Optical
Miniscope for Multifunctional Imaging</dc:title>
                  <dc:creator>Zhihao Zhou (4372402)</dc:creator>
                  <dc:creator>Khushboo Kumari (4672267)</dc:creator>
                  <dc:creator>Ningzhi Xie (14366295)</dc:creator>
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                  <dc:subject>Biophysics</dc:subject>
                  <dc:subject>Neuroscience</dc:subject>
                  <dc:subject>Physiology</dc:subject>
                  <dc:subject>Evolutionary Biology</dc:subject>
                  <dc:subject>Astronomical and Space Sciences not elsewhere classified</dc:subject>
                  <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
                  <dc:subject>Physical Sciences not elsewhere classified</dc:subject>
                  <dc:subject>total track length</dc:subject>
                  <dc:subject>replace traditional solutions</dc:subject>
                  <dc:subject>remain largely unconstrained</dc:subject>
                  <dc:subject>performance evaluations highlight</dc:subject>
                  <dc:subject>including large field</dc:subject>
                  <dc:subject>animal behavior studies</dc:subject>
                  <dc:subject>optical performance due</dc:subject>
                  <dc:subject>enhanced imaging capabilities</dc:subject>
                  <dc:subject>time imaging</dc:subject>
                  <dc:subject>optical miniscope</dc:subject>
                  <dc:subject>significantly reducing</dc:subject>
                  <dc:subject>seamlessly integrated</dc:subject>
                  <dc:subject>reduced thickness</dc:subject>
                  <dc:subject>predesigned functionalities</dc:subject>
                  <dc:subject>overall footprint</dc:subject>
                  <dc:subject>often limited</dc:subject>
                  <dc:subject>objective module</dc:subject>
                  <dc:subject>neuronal activity</dc:subject>
                  <dc:subject>miniscope tool</dc:subject>
                  <dc:subject>edof ),</dc:subject>
                  <dc:subject>diverse functionalities</dc:subject>
                  <dc:subject>depth sensitivity</dc:subject>
                  <dc:subject>complex designs</dc:subject>
                  <dc:subject>behavioral tasks</dc:subject>
                  <dc:subject>allowing animals</dc:subject>
                  <dc:subject>allow real</dc:subject>
                  <dc:subject>7 mm</dc:subject>
                  <dc:subject>5 mm</dc:subject>
                  <dc:description>Miniaturized microscopes (miniscopes)
allow real-time imaging of
neuronal activity in animal behavior studies, allowing animals to
remain largely unconstrained during behavioral tasks. Canonical designs
utilize either Gradient-Index (GRIN) lenses or a set of refractive
lenses as the objective module for excitation and collection of fluorescence.
However, GRIN lenses are often limited in optical performance due
to aberrations, whereas refractive lenses provide superior optical
performance but suffer from bulky and complex designs. Meta-optics,
which are subwavelength diffractive optical elements, have shown potential
to replace traditional solutions while also combining multiple functionalities
and significantly reducing the overall footprint and weight of a system.
In this work, we leverage the diverse functionalities that meta-optics
can enable through their design, including large field of view (FOV),
extended depth of focus (EDOF), and depth sensitivity, which expands
the miniscope tool-box. These meta-optics are seamlessly integrated
by replacing the traditional refractive lens assembly. Performance
evaluations highlight the enhanced imaging capabilities, aligned with
predesigned functionalities. Furthermore, the reduced thickness of
the meta-optics can shorten the total track length of the objective
module from 6.7 mm to 2.5 mm. These improvements have
the potential to facilitate the development of more compact and multifunctional
miniscopes.</dc:description>
                  <dc:date>2026-04-28T00:00:00Z</dc:date>
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                  <dc:creator>Israelle Netto Freitas (23803654)</dc:creator>
                  <dc:creator>Carolina Martins Lazaro (23804542)</dc:creator>
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                  <dc:creator>Mehdi Didi (23803424)</dc:creator>
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                  <dc:creator>Redouane Roukhsi (23803472)</dc:creator>
                  <dc:creator>Amine Bentaher (23803477)</dc:creator>
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                  <dc:creator>Hamza NAJOUT (22193980)</dc:creator>
                  <dc:creator>Abdelatif Chlouchi (23804437)</dc:creator>
                  <dc:creator>Aziz Benakrout (23803484)</dc:creator>
                  <dc:creator>Naoufal Elghoul (23803491)</dc:creator>
                  <dc:creator>Hicham SALLAHI (23803543)</dc:creator>
                  <dc:creator>Adbelatif Benbouha (23803570)</dc:creator>
                  <dc:creator>Hicham JANAH (23803574)</dc:creator>
                  <dc:creator>Adil Arrob (23803581)</dc:creator>
                  <dc:creator>Anas Zbitou (23803590)</dc:creator>
                  <dc:creator>Hatim Belfquih (23803593)</dc:creator>
                  <dc:creator>Taoufik Nassim sabah (23803594)</dc:creator>
                  <dc:creator>Youssef Darouassi (23803612)</dc:creator>
                  <dc:creator>Mohammed Lahkim (23803630)</dc:creator>
                  <dc:creator>Khalid Tourabi (23803635)</dc:creator>
                  <dc:creator>Omar MARGAD (23803637)</dc:creator>
                  <dc:creator>Abdeljalil ABOUCHADI (22541906)</dc:creator>
                  <dc:creator>Abdelmajid BOUZERDA (22194102)</dc:creator>
                  <dc:creator>Rachid Elbarni (23803703)</dc:creator>
                  <dc:creator>Rachid SEDDIKI (21410579)</dc:creator>
                  <dc:creator>Ali KHATOURI (22194145)</dc:creator>
                  <dc:creator>Hicham Balkhi (23803705)</dc:creator>
                  <dc:creator>Yassir Bousliman (23803708)</dc:creator>
                  <dc:creator>Said Zouhair (23803714)</dc:creator>
                  <dc:creator>Hatim A EL GHADBANE (23804470)</dc:creator>
                  <dc:creator>Youssef QAMOUSS (22194141)</dc:creator>
                  <dc:creator>Mohammed DRISSI (22194135)</dc:creator>
                  <dc:creator>Mohammad ZYANI (22194149)</dc:creator>
                  <dc:subject>Anaesthesiology</dc:subject>
                  <dc:subject>Emergency medicine</dc:subject>
                  <dc:subject>artificial intelligence</dc:subject>
                  <dc:subject>cardiac surgery</dc:subject>
                  <dc:subject>hemodynamic monitoring</dc:subject>
                  <dc:subject>hypotension prediction index</dc:subject>
                  <dc:subject>intensive care unit</dc:subject>
                  <dc:subject>intraoperative hypotension</dc:subject>
                  <dc:subject>lactate</dc:subject>
                  <dc:subject>Machine Learning &amp; False Correlations</dc:subject>
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                  <dc:subject>perioperative care</dc:subject>
                  <dc:description>&lt;p dir="ltr"&gt;Figure 1 illustrates the study selection process according to PRISMA 2020 guidelines. A total of 412 records were identified through database searching, with 289 remaining after duplicate removal. Following title and abstract screening, 255 records were excluded. Thirty-four full-text articles were assessed for eligibility, of which 25 were excluded due to non-cardiac populations, absence of AI-based monitoring, or insufficient data. Ultimately, nine studies were included in the qualitative synthesis.&lt;/p&gt;</dc:description>
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        <identifier>oai:figshare.com:article/32118061</identifier>
        <datestamp>2026-04-28T00:00:00Z</datestamp>
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              <mets:name>Hung D. Tran</mets:name>
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                  <dc:title>Readily Available Zirconium Catalysts for 1,2-Dihydrophosphinylation
of Nitriles</dc:title>
                  <dc:creator>Hung D. Tran (14916624)</dc:creator>
                  <dc:creator>Nabina Shrestha (23804734)</dc:creator>
                  <dc:creator>Spencer A. Brown (23804737)</dc:creator>
                  <dc:creator>Cameron M. Dabney (23804740)</dc:creator>
                  <dc:creator>Stephanie C. Ray (5988452)</dc:creator>
                  <dc:creator>Joseph A. R. Schmidt (7499423)</dc:creator>
                  <dc:subject>Biophysics</dc:subject>
                  <dc:subject>Biochemistry</dc:subject>
                  <dc:subject>Cell Biology</dc:subject>
                  <dc:subject>Sociology</dc:subject>
                  <dc:subject>Inorganic Chemistry</dc:subject>
                  <dc:subject>Plant Biology</dc:subject>
                  <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
                  <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
                  <dc:subject>paper also discusses</dc:subject>
                  <dc:subject>catalysts ’ reactivity</dc:subject>
                  <dc:subject>various aryl nitriles</dc:subject>
                  <dc:subject>zirconium catalysts</dc:subject>
                  <dc:subject>based catalysts</dc:subject>
                  <dc:subject>successful catalysis</dc:subject>
                  <dc:subject>nitriles zirconium</dc:subject>
                  <dc:subject>mild conditions</dc:subject>
                  <dc:subject>gram scale</dc:subject>
                  <dc:subject>excellent yields</dc:subject>
                  <dc:subject>electronic effects</dc:subject>
                  <dc:subject>different ligands</dc:subject>
                  <dc:subject>catalytic reactions</dc:subject>
                  <dc:description>Zirconium-based catalysts
were developed for 1,2-dihydrophosphinylation
of various aryl nitriles. Three chemically related zirconium complexes
were synthesized and utilized in these catalytic reactions, resulting
in good to excellent yields under mild conditions. These zirconium
catalysts were also generated using benchtop methods, leading to the
successful catalysis of 1,2-dihydrophosphinylation of nitriles at
gram scale. This paper also discusses the steric and electronic effects
of different ligands on these catalysts’ reactivity.</dc:description>
                  <dc:date>2026-04-28T00:00:00Z</dc:date>
                  <dc:type>Text</dc:type>
                  <dc:type>Journal contribution</dc:type>
                  <dc:identifier>10.1021/acs.organomet.6c00098.s001</dc:identifier>
                  <dc:relation>https://figshare.com/articles/journal_contribution/Readily_Available_Zirconium_Catalysts_for_1_2-Dihydrophosphinylation_of_Nitriles/32118061</dc:relation>
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