Table 1_Oral bacterial community dynamics during induction of gingival inflammation.xlsx by Bart J. F. Keijser (16884185)

“…Interactions between multiple niches, especially the tongue, influence clinical outcomes, highlighting a complex, nonlinear dynamic behavior in the oral microbiota. …”

Supplementary file 1_Oral bacterial community dynamics during induction of gingival inflammation.docx by Bart J. F. Keijser (16884185)

“…Interactions between multiple niches, especially the tongue, influence clinical outcomes, highlighting a complex, nonlinear dynamic behavior in the oral microbiota. …”

Supplementary file 1_Efficacy of flavonoids in non-alcoholic fatty liver disease: an updated systematic review and meta-analysis.docx by Qianqian Liu (381114)

“…Flavonoids intervention significantly decreased aspartate aminotransferase (AST), alkaline phosphatase (ALP), alanine aminotransferase (ALT), total cholesterol (TC), steatosis score, body mass index (BMI), triglycerides (TG), fasting blood sugar (FBS), insulin levels and augmented the quantitative insulin sensitivity check index (QUICKI) levels. …”

Data Sheet 1_Association of oxidative balance score with all-cause and cardiovascular mortality among patients with cardio-renal-metabolic disease.docx by Yucui Lin (21598376)

“…Moreover, Higher OBS quartiles were linked to a decreased risk of cardiovascular mortality, while no significant reduction was observed in the lower quartiles [model 3: Q2, Q3, Q4: aHR (95CI%) = 0.96(0.77–1.19), 0.78 (0.63–0.97), 0.70 (0.53–0.93), respectively; P for trend = 0.003]. …”

Physics-Assisted Machine Learning for the Simulation of the Slurry Drying in the Manufacturing Process of Battery Electrodes: A Hybrid Time-Dependent VGG16-DEM Model by Diego E. Galvez-Aranda (9436672)

“…Furthermore, the integration of DL significantly reduced the computational cost versus the original DEM model simulation, decreasing the calculation time from 615 to 36 min for the whole slurry drying simulation process. …”

Effect of DM, and/or <i>M. charantia</i> on the (I) glucose; (II) HOMA IR, (III) QUICKI levels; (IV) GLUT4; (V) AMPK; (VI) insulin; (VII) leptin levels in the control and different... by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the neurotransmitters levels, acetylcholine (I) and dopamine (II). by Amoura M. Abou-El-Naga (21001524)

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Effect of DM, and/or <i>M. charantia</i> on the (I) number of corpuses lutea; (II) number of neonates, (III) weight of neonates; (IV) length of neonates levels in the control and d... by Amoura M. Abou-El-Naga (21001524)

Effect of DM, and/or <i>M. charantia</i> on the immuno-expressional level of NGF protein in maternal cerebellar tissue of different groups. by Amoura M. Abou-El-Naga (21001524)

“…Figs <b>(E & F):</b> Diabetic mothers have a significant decrease in the expression of NGF protein across all three layers of the cerebellar cortex. …”

Data Sheet 8_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”

Data Sheet 5_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”

Data Sheet 1_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”

Data Sheet 7_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”

Data Sheet 3_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”

Table 1_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.xlsx by Erman Wu (19021269)

“…Background<p>Particulate matter pollution (PMP) remains a leading risk factor for lower respiratory infections (LRIs) globally. …”