Participants diagram of the study. by Nirmal Gautam (10031682)

“…Moreover, non-consumption of fatty foods and outdoor activities were found to be associated with a decrease in obesity by respectively. However, non-consumption of fruits and vegetables and maternal BMI were significantly correlated with an increased risk of obesity in children () and adolescents () respectively.…”

Supplementary Table 1–9. by Yu Wang (12152)

“…To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering.</p><p>Results</p><p>Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861–0.999; p = 0.047). …”

STROBE-MR checklist. by Yu Wang (12152)

“…To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering.</p><p>Results</p><p>Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861–0.999; p = 0.047). …”

Instrumental Variables details of lipids. by Yu Wang (12152)

“…To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering.</p><p>Results</p><p>Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861–0.999; p = 0.047). …”

Discovery of Novel [1,2,4]Triazolo[1,5‑<i>a</i>]pyrimidine Derivatives as Novel Potent S‑Phase Kinase-Associated Protein 2 (SKP2) Inhibitors for the Treatment of Cancer by Kaizhao Hu (15670612)

“…Pharmacological inhibition of Skp2 has exhibited promising antitumor activity. Herein, we present the design and optimization of a series of [1,2,4]triazolo[1,5-<i>a</i>]pyrimidine-based small molecules targeting Skp2. …”

Discovery of Novel [1,2,4]Triazolo[1,5‑<i>a</i>]pyrimidine Derivatives as Novel Potent S‑Phase Kinase-Associated Protein 2 (SKP2) Inhibitors for the Treatment of Cancer by Kaizhao Hu (15670612)

“…Pharmacological inhibition of Skp2 has exhibited promising antitumor activity. Herein, we present the design and optimization of a series of [1,2,4]triazolo[1,5-<i>a</i>]pyrimidine-based small molecules targeting Skp2. …”

Discovery of Novel [1,2,4]Triazolo[1,5‑<i>a</i>]pyrimidine Derivatives as Novel Potent S‑Phase Kinase-Associated Protein 2 (SKP2) Inhibitors for the Treatment of Cancer by Kaizhao Hu (15670612)

“…Pharmacological inhibition of Skp2 has exhibited promising antitumor activity. Herein, we present the design and optimization of a series of [1,2,4]triazolo[1,5-<i>a</i>]pyrimidine-based small molecules targeting Skp2. …”

Discovery of Novel [1,2,4]Triazolo[1,5‑<i>a</i>]pyrimidine Derivatives as Novel Potent S‑Phase Kinase-Associated Protein 2 (SKP2) Inhibitors for the Treatment of Cancer by Kaizhao Hu (15670612)

“…Pharmacological inhibition of Skp2 has exhibited promising antitumor activity. Herein, we present the design and optimization of a series of [1,2,4]triazolo[1,5-<i>a</i>]pyrimidine-based small molecules targeting Skp2. …”

Discovery of Novel [1,2,4]Triazolo[1,5‑<i>a</i>]pyrimidine Derivatives as Novel Potent S‑Phase Kinase-Associated Protein 2 (SKP2) Inhibitors for the Treatment of Cancer by Kaizhao Hu (15670612)

“…Pharmacological inhibition of Skp2 has exhibited promising antitumor activity. Herein, we present the design and optimization of a series of [1,2,4]triazolo[1,5-<i>a</i>]pyrimidine-based small molecules targeting Skp2. …”

Results of differential abundance assessment expressed as Log2 Fold Change (Log2FC) for comparison between different taxonomic groups after the intervention. by Adriana Bittencourt Campaner (21175462)

Expression analysis of color-related genes in the hepatopancreas and shell tissues of cherry shrimp (<i>N</i>. <i>davidi</i> var. red) fed with vehicle, astaxanthin alone and in co... by Wei-Wei Hou (3405947)

Phosphorylation of LKB1 and AMPK in 3T3-L1 adipocytes treated with isoarborinol. by Yesenia Arcos-Reyes (22177391)

Primers for qPCR. by Kaitao Zhao (3617825)

“…Transiently or stably knockdown of MRE11, RAD50 or NBS1 in hepatocytes before HBV infection significantly decreased viral markers, including cccDNA, while reconstitution reversed the effect. …”

Antibodies used for western blotting. by Kaitao Zhao (3617825)

“…Transiently or stably knockdown of MRE11, RAD50 or NBS1 in hepatocytes before HBV infection significantly decreased viral markers, including cccDNA, while reconstitution reversed the effect. …”

Target sequences of siRNAs. by Kaitao Zhao (3617825)

“…Transiently or stably knockdown of MRE11, RAD50 or NBS1 in hepatocytes before HBV infection significantly decreased viral markers, including cccDNA, while reconstitution reversed the effect. …”

Plasmids information. by Kaitao Zhao (3617825)

“…Transiently or stably knockdown of MRE11, RAD50 or NBS1 in hepatocytes before HBV infection significantly decreased viral markers, including cccDNA, while reconstitution reversed the effect. …”

Raw data. by Kaitao Zhao (3617825)

“…Transiently or stably knockdown of MRE11, RAD50 or NBS1 in hepatocytes before HBV infection significantly decreased viral markers, including cccDNA, while reconstitution reversed the effect. …”

Dataset visualization diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Dataset sample images. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Performance comparison of different models. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”