Obese <i>mMgat2</i> and <i>HuMgat2</i> mice show defects in solute transporter protein levels. by J. Jose Corbalan (22439198)

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Rut inhibited the degradation of TJPs to reduce BBB breakdown and also suppressed apoptosis of brain tissue cells. by Zhixuan Huang (6750410)

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Rut alleviated BBB damage in MCAO rats and exerted neuroprotective effects. by Zhixuan Huang (6750410)

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Effect of Rut on neuronal injury caused by OGD. by Zhixuan Huang (6750410)

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ST2+ KLRG-1+ Tregs from <i>T</i>. <i>cruzi</i> infected mice exhibit a phenotype compatible with <i>bona fide</i> trTregs. by Santiago Boccardo (5927954)

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Atg14 does not contribute to terminal eTreg generation during perinatal life. by Erienne G. Norton (9612079)

Under steatotic conditions, primary <i>mMgat2</i> and <i>HuMgat2</i> hepatocytes induce apoptosis. by J. Jose Corbalan (22439198)

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Obese <i>HuMgat2</i> mice show defects in cytochrome P450 protein levels. by J. Jose Corbalan (22439198)

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Tgfβ-1 levels drives liver collagen deposition and pJak2-pStat3 signaling in obese <i>mMgat2</i> and <i>HuMgat2</i> mice. by J. Jose Corbalan (22439198)

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Inflammatory and microbial-derived signals are unable to restrict IL-33 mediated expansion of trTregs <i>in vitro</i>. by Santiago Boccardo (5927954)

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Atg14 deficiency in Tregs induces a type-I-dominant lymphoproliferative disease and cell-intrinsic reductions in eTregs. by Erienne G. Norton (9612079)

Nuclear Srebp1 and Srebp2 protein levels and Srebp-dependent lipogenic gene expression are elevated in obese <i>mMgat2</i> and <i>HuMgat2</i> mice. by J. Jose Corbalan (22439198)

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iBAT characterization of the <i>aP2-Drp1</i>^f/f neonatal mice. by Yuta Ibayashi (20404811)

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Early IL-33 administration effect on body weight, SM damage and total Tregs pool. by Santiago Boccardo (5927954)

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Dynamics of EGFP and mRFP fluorescence in infected cells under different heat shock conditions. by Enrique Paz-Cortés (20988196)

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Brain disintegration in <i>aP2- Drp1</i>^f/f neonatal mice. by Yuta Ibayashi (20404811)

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Test results for NME and FR. by Yuxuan Ji (13991895)

“…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”

Test results on different datasets. by Yuxuan Ji (13991895)

“…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”

Effect of alkali-stress to chlorophyll fluorescence parameters compared to control treatment. by Zeyu Jiang (5094320)

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Effect of alkali-stress on photosynthetic pigments of hemp seedlings compared to control treatment. by Zeyu Jiang (5094320)

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