The mean scores of epidermis and dermis healing processes in burned rats after 10 and 21 days treatment with silver sulfadiazine 1% (silver), opium 0.05% (OP 0.05%), opium 0.5% (OP... by Omid Mehrpour (9385929)

Parvalbumin-positive interneurons (PV-INs) in perilesional tissue respond to optogenetic stimulation and are involved in voluntary movement, but show a decreased firing rate. by Livia Vignozzi (22430567)

“…<b>E</b>, Quantification of the average firing rate of the recorded PV-INs in response to optogenetic stimulation. A significant decrease in firing activity is evident in stroke animals (Two-tailed <i>T</i> Test *** <i><i>P</i></i> < 0.001). …”

The nsP4-Q192L and C483Y mutations decrease the 4′-FlU sensitivity of both replication and transcription. by Peiqi Yin (6533747)

Dopamine receptors D1, D2, and D4 modulate electrical synapses and excitability in the thalamic reticular nucleus supplementary table by Mitchell Vaughn (19871487)

Key safety measures including adverse events. by Anuja Dokras (8679261)

“…Waist circumference (mean change (MC) −2.23 cm; 95% CI [−3.98, −0.49]; <i>p</i> = 0.01), BMI (MC −0.49 kg/m²; 95% CI [−0.88, −0.10[; <i>p</i> = 0.01), and android fat mass measured by DXA (MC −167 g; 95% CI [−264, −71[; <i>p</i> < 0.001) decreased in the COCP group over the study period whilst there was no statistically significant changes in these parameters in the metformin only group when compared to baseline.. …”

A prepubertal CD decreases hepatic DNA methylation and increases hydroxymethylation in adulthood despite a chronic HFD in Sprague-Dawley male rats. by Ana Aguilar-Lozano (20614619)

Synthetic feasibility scores of 20 molecular fragments. by Bin Pan (742525)

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The scatter plot of the target variable solubility dataset. by Bin Pan (742525)

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Samples with the highest solubility after high-throughput screening. by Bin Pan (742525)

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Assessment values of machine learning models. by Bin Pan (742525)

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List of datasets in AqSolDB. by Bin Pan (742525)

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Schematic workflow diagram of the StackBoost model framework. by Bin Pan (742525)

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Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... by Bin Pan (742525)

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Pearson correlation analysis between pairs of feature parameters. by Bin Pan (742525)

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Comparison of actual vs predicted values after transfer. by Bin Pan (742525)

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List of available information in each column of AqSolDB. by Bin Pan (742525)

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3D Scatter plot of features related to water-soluble materials. by Bin Pan (742525)

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Workflow diagram of the prediction algorithm framework. by Bin Pan (742525)

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Feature importance derived from SHAP analysis. by Bin Pan (742525)

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Summary of results for human parasitology testing at primary schools on school-aged children (SAC) across the study region. In 2022, two stools (S1 and S2) were collected per SAC w... by Roland Proud (11764892)

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