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          <dc:title>ICSI shows no advantage over conventional IVF in patients with unexpected low oocyte yield</dc:title>
          <dc:creator>Mingzhao Li (8078720)</dc:creator>
          <dc:creator>Wennan Chen (23809004)</dc:creator>
          <dc:creator>Xia Xue (123975)</dc:creator>
          <dc:creator>Juanzi Shi (663812)</dc:creator>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Microbiology</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Physiology</dc:subject>
          <dc:subject>Immunology</dc:subject>
          <dc:subject>Developmental Biology</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>Computational  Biology</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>C-IVF</dc:subject>
          <dc:subject>ICSI</dc:subject>
          <dc:subject>oocyte yield</dc:subject>
          <dc:subject>reproductive outcomes</dc:subject>
          <dc:description>&lt;p&gt;A yield of fewer than five oocytes is associated with a sharp drop in success rates, making each oocyte extremely valuable and demanding highly efficient utilization. Therefore, we aimed to explore the optimal fertilization method for these patients.&lt;/p&gt; &lt;p&gt;This retrospective cohort single-center study included 424 C-IVF cycles and 90 ICSI cycles from 2016 to 2023. All patients were in their first ART cycle, with 3 or 4 oocytes retrieved. The study subjects were primarily divided into two groups: the IVF-LN (C-IVF with a 50% lower-than-expected oocyte yield) group and the ICSI-LN (ICSI with a 50% lower-than-expected oocyte yield) group.&lt;/p&gt; &lt;p&gt;We observed no significant differences in the day 3 available embryo (87.0 versus 84.8%; &lt;i&gt;p&lt;/i&gt; = 0.41), blastocyst formation (61.2 versus 57.9%; &lt;i&gt;p&lt;/i&gt; = 0.69), day 5 blastocyst (56.9 versus 54.5%; &lt;i&gt;p&lt;/i&gt; = 0.83) or good quality blastocyst (45.4 versus 50.0%; &lt;i&gt;p&lt;/i&gt; = 0.83) rates between the IVF-LN and ICSI-LN groups. However, the day 3 good quality embryo rate was significantly higher in the IVF-LN group than in the ICSI-LN group (59.76% vs. 47.46%; &lt;i&gt;p&lt;/i&gt; &lt; 0.01). There were no significant differences in the pregnancy (61.8 versus 57.7%; &lt;i&gt;p&lt;/i&gt; = 0.50), clinical pregnancy (59.1 versus 53.8%; &lt;i&gt;p&lt;/i&gt; = 0.40), ongoing pregnancy (52.2 versus 47.4%; &lt;i&gt;p&lt;/i&gt; = 0.45) or live birth (48.6 versus 44.9%; &lt;i&gt;p&lt;/i&gt; = 0.55) rates between the IVF-LN and ICSI-LN groups.&lt;/p&gt; &lt;p&gt;For patients with &lt;5 Oocytes and a predicted yield of ≤50%, ICSI did not demonstrate a significant advantage over C-IVF.&lt;/p&gt;</dc:description>
          <dc:date>2026-04-29T06:37:34Z</dc:date>
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          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.6084/m9.figshare.32121551.v1</dc:identifier>
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        <identifier>oai:figshare.com:article/32121548</identifier>
        <datestamp>2026-04-29T06:35:30Z</datestamp>
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          <dc:title>Exploring the therapeutic potential of ethyl acetate fractions from algerian propolis against neuroblastoma: chemical profile&lt;i&gt;, in vitro&lt;/i&gt; bioactivities and &lt;i&gt;in silico&lt;/i&gt; inhibition of MDM2-P53 interaction</dc:title>
          <dc:creator>Safia Boulechfar (17701524)</dc:creator>
          <dc:creator>Mehmet Enes Arslan (15238307)</dc:creator>
          <dc:creator>Amar Zellagui (825779)</dc:creator>
          <dc:creator>Mehmet Öztürk (825778)</dc:creator>
          <dc:creator>El Hassen Mokrani (19939881)</dc:creator>
          <dc:creator>Gürkan Berber (23808992)</dc:creator>
          <dc:creator>Dilara Esra Men (23808995)</dc:creator>
          <dc:creator>Karima Oufroukh (23808998)</dc:creator>
          <dc:creator>Hatice Karataş (23809001)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Pharmacology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>Propolis</dc:subject>
          <dc:subject>neuroblastoma</dc:subject>
          <dc:subject>SH-SY5Y</dc:subject>
          <dc:subject>apoptosis</dc:subject>
          <dc:subject>MDM2</dc:subject>
          <dc:subject>molecular docking</dc:subject>
          <dc:subject>molecular dynamics</dc:subject>
          <dc:description>&lt;p&gt;In this work, we evaluated the chemical composition and the potential of ethyl acetate fractions of propolis from Babor (EAFPB) and El-Menia (EAFPM) regions against human neuroblastoma SH-SY5Y. The inhibitory of MDM2-P53 interaction by propolis phytochemicals was also evaluated by molecular docking and molecular dynamics simulations. HPLC-DAD revealed the predominance of phenolic acids such as vanillic acid, &lt;i&gt;p&lt;/i&gt;-coumaric acid, cynarin; and flavonoids such as naringenin, hesperetin and hesperidin. Besides, fumaric acid and esculetin were detected for the first time in Algerian propolis. &lt;i&gt;In vitro&lt;/i&gt; studies validated the selective anticancer and apoptotic properties of propolis fractions, and confirmed the absence of genotoxic effects. Molecular docking and molecular dynamics revealed good binding affinities and stable interactions of Kaempferol, Naringenin, Hesperetin, Apigenin and Luteolin with MDM2. Overall, the findings highlight the potential of Algerian propolis-derived compounds as selective anticancer agents against neuroblastoma.&lt;/p&gt;</dc:description>
          <dc:date>2026-04-29T06:35:30Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.6084/m9.figshare.32121548.v1</dc:identifier>
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        <identifier>oai:figshare.com:article/32121535</identifier>
        <datestamp>2026-04-29T06:30:10Z</datestamp>
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          <dc:title>Appendix from Management history can cause irreversible changes in agroecosystems: insights from an extended Carpenter model</dc:title>
          <dc:creator>Athmanathan Senthilnathan (23808982)</dc:creator>
          <dc:creator>Theresa Wei Ying Ong (9019370)</dc:creator>
          <dc:subject>Other environmental sciences not elsewhere classified</dc:subject>
          <dc:subject>Environmental Science</dc:subject>
          <dc:subject>Biomathematics</dc:subject>
          <dc:description>appendix.pdf</dc:description>
          <dc:date>2026-04-29T06:30:10Z</dc:date>
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        <identifier>oai:figshare.com:article/31343677</identifier>
        <datestamp>2026-04-29T06:29:33Z</datestamp>
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          <dc:title>Stickleback genome assemblies</dc:title>
          <dc:creator>Dandan Wang (11534062)</dc:creator>
          <dc:subject>Phylogeny and comparative analysis</dc:subject>
          <dc:subject>Genomics</dc:subject>
          <dc:subject>Stickleback Genome</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This contains haplotype-resolved genome assemblies for Pungitius pungitius WL (Belgium and UK)&lt;/p&gt;</dc:description>
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          <dc:title>Solvent Models
and Charge Scaling: Benchmarks for
Molecular Dynamics of Glycosaminoglycans</dc:title>
          <dc:creator>Jacob
A. Clark (23808976)</dc:creator>
          <dc:creator>Sergey A. Samsonov (1684066)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Mathematical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>various parameter choices</dc:subject>
          <dc:subject>finding dramatic differences</dc:subject>
          <dc:subject>glycosaminoglycan chain length</dc:subject>
          <dc:subject>high negative charge</dc:subject>
          <dc:subject>solvent model choice</dc:subject>
          <dc:subject>previous work within</dc:subject>
          <dc:subject>multiple solvent models</dc:subject>
          <dc:subject>charge scaling methods</dc:subject>
          <dc:subject>glycosaminoglycans glycosaminoglycans make</dc:subject>
          <dc:subject>solvent models</dc:subject>
          <dc:subject>solvent model</dc:subject>
          <dc:subject>charge scaling</dc:subject>
          <dc:subject>glycosaminoglycan simulations</dc:subject>
          <dc:subject>unbound glycosaminoglycans</dc:subject>
          <dc:subject>simulate glycosaminoglycans</dc:subject>
          <dc:subject>wide variety</dc:subject>
          <dc:subject>typical scenarios</dc:subject>
          <dc:subject>scaled approaches</dc:subject>
          <dc:subject>rigorously investigated</dc:subject>
          <dc:subject>physiological roles</dc:subject>
          <dc:subject>molecular dynamics</dc:subject>
          <dc:subject>limited understanding</dc:subject>
          <dc:subject>greater similarity</dc:subject>
          <dc:subject>forcefield sensitivity</dc:subject>
          <dc:subject>forcefield parameters</dc:subject>
          <dc:subject>distinct protocols</dc:subject>
          <dc:subject>conventional non</dc:subject>
          <dc:subject>computational approaches</dc:subject>
          <dc:subject>comprehensive understanding</dc:subject>
          <dc:subject>biomolecules requires</dc:subject>
          <dc:subject>ameliorated within</dc:subject>
          <dc:subject>also sensitive</dc:subject>
          <dc:description>Glycosaminoglycans make up a group of highly negatively
charged
linear polysaccharides with a wide variety of physiological roles.
Investigating these biomolecules requires both experimental and computational
approaches. However, there is limited understanding of how various
parameter choices in the design of simulations can impact the behavior
of glycosaminoglycans. Previous work within our group has explored
the impact of solvent model choice on unbound glycosaminoglycans and
within their complexes with proteins, finding dramatic differences
in results that depend on which solvent model is used. The high negative
charge these molecules possess also poses a challenge, as the simulations
become not only dependent on solvent model choice but also sensitive
to changes in forcefield parameters. Charge scaling methods have been
proposed to improve the accuracy of forcefields used to simulate glycosaminoglycans.
In this study, the application of charge scaling methods within the
context of the solvent model has been rigorously investigated with
the goal of quantifying the impacts of distinct protocols in the analysis
of protein–glycosaminoglycan interactions. Utilizing previous
experimental data collected on glycosaminoglycan chain length for
reference, it was found that charge-scaled simulations of heparin
resulted in greater similarity to experimental properties than conventional
non-charge-scaled approaches. This improvement in the simulated properties
of heparin is maintained with multiple solvent models and under typical
scenarios in which heparin may be simulated, along with characterization
of the effects on protein–glycosaminoglycan binding, provides
a more comprehensive understanding of how the challenge of solvent
model choice and forcefield sensitivity can be ameliorated within
the field of glycosaminoglycan simulations.</dc:description>
          <dc:date>2026-04-29T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10.1021/acs.jpcb.6c01164.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Solvent_Models_and_Charge_Scaling_Benchmarks_for_Molecular_Dynamics_of_Glycosaminoglycans/32121529</dc:relation>
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        <datestamp>2026-04-29T06:28:05Z</datestamp>
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          <dc:title>Sup Table Data Base Labo and Sup Table Data Base Medrio of the TrypSkin sub-study</dc:title>
          <dc:creator>Brice Rotureau (23808937)</dc:creator>
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          <dc:subject>Dataset</dc:subject>
          <dc:subject>TrypSkin</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;&lt;b&gt;Detection of bloodstream and dermal trypanosomes in individuals&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;seropositive but parasitologically unconfirmed for human African trypanosomiasis in Guinea and the Democratic Republic of the Congo (TrypSkin): a prospective sub-study of the Phase II/III DNDi-OXA-04-HAT trial.&lt;/b&gt;&lt;/p&gt;</dc:description>
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          <dc:type>Dataset</dc:type>
          <dc:identifier>10.6084/m9.figshare.32121502.v1</dc:identifier>
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        <datestamp>2022-03-01T00:00:00Z</datestamp>
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          <dc:title>Pivots, arts practice and potentialities: Creative engagement, community well-being and arts-led research during COVID-19 in Australia</dc:title>
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          <dc:creator>S Gattenhof (19533871)</dc:creator>
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          <dc:creator>H Klaebe (19533874)</dc:creator>
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          <dc:subject>Regional Australia</dc:subject>
          <dc:subject>Social isolation</dc:subject>
          <dc:description>Pre-dating COVID-19 it was widely acknowledged that there was a loneliness epidemic and that prolonged loneliness and reduced human touch results in increased propensity to heart disease, stroke and clinical dementia. Given such statistics, and the use of isolation and shielding as a health response to the COVID-19 pandemic, it is imperative that creative projects or research investigations embed strategies to address the potential fragmentation of community and increased difficulty of social connection. This discussion examines two Australian art-based projects – ‘A Place in Our Art’ and ‘Shorewell Presents … Dear Friend’ – to illustrate the use of arts and cultural activities to maintain and support social connection. The article draws on arts-health and performance theory to unpack project design and outcomes of using both physical and virtual creative art-based engagement strategies in a crisis to entice continued participation and support well-being.&lt;p&gt;&lt;/p&gt;</dc:description>
          <dc:date>2022-03-01T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Journal contribution</dc:type>
          <dc:identifier>10779/cqu.26932369.v2</dc:identifier>
          <dc:relation>https://figshare.com/articles/journal_contribution/Pivots_arts_practice_and_potentialities_Creative_engagement_community_well-being_and_arts-led_research_during_COVID-19_in_Australia/26932369</dc:relation>
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        <identifier>oai:figshare.com:article/32121493</identifier>
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          <dc:title>ANS Function Estimation (PONE-D-26-08299)</dc:title>
          <dc:creator>Ruichen Li (18198001)</dc:creator>
          <dc:subject>Autonomic nervous system</dc:subject>
          <dc:subject>Computational physiology</dc:subject>
          <dc:subject>Interoceptive signals</dc:subject>
          <dc:subject>Autonomic nervous system modulation</dc:subject>
          <dc:subject>Autism spectrum disorder</dc:subject>
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          <dc:subject>Respiratory modulation</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Research findings for the manuscript titled "Interoceptive autonomic regulation in typical development and autism spectrum disorder: A computational model integrating multiple physiological systems"&lt;/p&gt;</dc:description>
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        <identifier>oai:figshare.com:article/32075238</identifier>
        <datestamp>2026-04-29T06:23:13Z</datestamp>
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          <dc:title>Supplemental Figures S1-S2: Differential Modulation of Reciprocal Inhibition Between Wrist Extensors and Flexors by Repetitive Peripheral Magnetic Stimulation of the Wrist Extensors</dc:title>
          <dc:creator>Dai Miyazaki (23770461)</dc:creator>
          <dc:creator>Ayu Omiya (23770494)</dc:creator>
          <dc:creator>Kanau Shitar (23770497)</dc:creator>
          <dc:creator>Hiromi Fujii (23770499)</dc:creator>
          <dc:creator>Mitsuhiro Nito (21665192)</dc:creator>
          <dc:subject>Medical physiology not elsewhere classified</dc:subject>
          <dc:subject>Neurosciences not elsewhere classified</dc:subject>
          <dc:subject>Rehabilitation</dc:subject>
          <dc:subject>Forearm Muscle</dc:subject>
          <dc:subject>H-reflexe</dc:subject>
          <dc:subject>Spinal circuits</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This PDF file contains supplemental figures (Figures S1-S2) for the study titled "Differential Modulation of Reciprocal Inhibition Between Wrist Extensors and Flexors by Repetitive Peripheral Magnetic Stimulation of the Wrist Extensors".&lt;/p&gt;</dc:description>
          <dc:date>2026-04-29T06:23:13Z</dc:date>
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        <identifier>oai:figshare.com:article/32121481</identifier>
        <datestamp>2026-04-29T06:21:12Z</datestamp>
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        <setSpec>category_30100</setSpec>
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          <dc:title>Pp nf colaboration notes</dc:title>
          <dc:creator>Mark Chrisman (23637490)</dc:creator>
          <dc:subject>Cosmology and extragalactic astronomy</dc:subject>
          <dc:subject>Galactic astronomy</dc:subject>
          <dc:subject>General relativity and gravitational waves</dc:subject>
          <dc:subject>Stellar astronomy and planetary systems</dc:subject>
          <dc:subject>Atomic and molecular physics</dc:subject>
          <dc:subject>Classical physics not elsewhere classified</dc:subject>
          <dc:subject>Foundations of quantum mechanics</dc:subject>
          <dc:subject>substrate models</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Pp nf is a model from one author, Mark Chrisman with the help of many a.I. platforms and serves as an experiment on many fronts.&lt;/p&gt;</dc:description>
          <dc:date>2026-04-29T06:21:12Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Preprint</dc:type>
          <dc:identifier>10.6084/m9.figshare.32121481.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/preprint/Pp_nf_colaboration_notes/32121481</dc:relation>
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