Marking example. by Qingjun Yu (1649473)

“…Based on the PyTorch deep learning framework, the initial U²-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”

AMPK activation does not enhance autophagy in neurons in contrast to MTORC1 inhibition: different impact on β-amyloid clearance by Irene Benito-Cuesta (5280182)

“…Inhibition of AMPK with compound C generated the expected decrease in autophagy induction, though surprisingly did not increase the Aβ secretion. …”

<i>Ex vivo</i> contractile properties and resistance to seven eccentric contractions of extensor digitorum longus muscles from wild-type, mdx/utrn +/+, and mdx/utrn+/- mice. by Antoine Boulanger Piette (5349347)

“…The force frequency curves show that there is a progressive recovery of dystrophic EDL muscles at 2 months of age (E) and a full recovery at 5 months of age in mdx/utrn+/+ and mdx utrn+/- mice (F). …”

The N-terminal domain is sufficient for CMPK2 antiviral function. by Joanna B. Pawlak (5210639)

Low-dosage sDll4-Fc does not affect perfusion levels and leads to only a small increase in extravasation while higher dosages cause decreased perfusion and highly increased extrava... by Alexandre Trindade (187498)

“…<p>A) Representative anti-PECAM and anti-Lectin immunofluorescence images of neo-vasculature in granulation tissue of wounds treated with 0,05 mg/kg or 2,5 mg/kg compared with control mice injected with PBS, in day 6. …”

Drill image dataset for training part II. by Qingjun Yu (1649473)

“…Based on the PyTorch deep learning framework, the initial U²-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”

U²-Net network structure diagram [8]. by Qingjun Yu (1649473)

“…Based on the PyTorch deep learning framework, the initial U²-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”

RSU-7 structure diagram [8]. by Qingjun Yu (1649473)

“…Based on the PyTorch deep learning framework, the initial U²-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”

Drill image dataset for training part I. by Qingjun Yu (1649473)

“…Based on the PyTorch deep learning framework, the initial U²-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”

Heatmaps showing the median difference between observed and LMM—predicted PM2.5 and PM10 during 2020 by sensor and daily hour intervals. by Daniele Pala (1524016)

Decreased EBD uptake and increased annexin A1 up-regulation in the diaphragm of male <i>mdx</i> mice after injection with corticosterone or PD2 female <i>mdx</i> mice. by Yuko Shimizu-Motohashi (115633)

DataSheet1_2-Dodecyl-6-Methoxycyclohexa-2,5-Diene-1,4-Dione Ameliorates Diabetic Cognitive Impairment Through Inhibiting Hif3α and Apoptosis.xlsx by Lihui Wang (437861)

“…Although the etiology of diabetic cognitive impairment is complex and multifactorial, the hippocampus neuronal apoptosis is recognized as a main cause of diabetes-induced cognitive impairment. 2-Dodecyl-6-methoxycyclohexa-2,5-diene-1,4-dione (DMDD) was purified from the roots of Averrhoa carambola L. …”

The MB gains a toxic function, rather than loses a protective function, in response to HS in the absence of dPGAM5. by Yosuke Ishida (185168)

“…(<b>D</b>) Suppression of neurotransmission does not decrease vulnerability of <i>PGAM5¹</i> flies to HS. …”

Data_Sheet_5_Modulation of Microglial Activation by Adenosine A2a Receptor in Animal Models of Perinatal Brain Injury.pdf by Marina Colella (5735873)

Double deletion of Zeb1 and Zeb2 causes PB cytopenia and severe differentiation defects in HSPCs. by Jueqiong Wang (11467505)

Comparison of mitochondrial number at MF and SC presynaptic bouton profiles. by Sang Hun Lee (564624)

Panel A–D shows the posterior mean distribution of PfPR_2–10 by the prediction years of 1969–1989 in Namibia. by Abdisalan M. Noor (82579)

“…Negative/positive values indicate a decrease/increase in predicted PfPR_2–10. …”

CMPK2 inhibits the replication of multiple pathogenic flaviviruses but not viruses of the <i>Corona-</i>, <i>Orthomyxo-</i>, <i>Paramyxo-</i>, <i>Rhabdo-</i> and <i>Herpes-viridae<... by Joanna B. Pawlak (5210639)

Expression of FOXM1 promotes mucinous characteristics in mouse lung tumors induced either by urethane or Kras^G12D. by David Milewski (4710029)

“…<b>(B)</b> <i>Nkx2-1</i> mRNA was decreased in microdissected <i>epiFoxM1-ΔN</i> tumors (n = 5) compared to control tumors (n = 5) as shown by qRT-PCR. …”

TOP2A is associated with MM development and progression. by Chengyu Wu (640314)

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