Alcohol-related monthly crude rates between 2018 and 2024, stratified by gender, age and cause of death. by Tony Wong (779773)

Cohort characteristics. by Fernanda Talarico (807333)

“…</p><p>Results</p><p>The analysis reveals a significant decrease in all health services utilization from 2016 to 2019, followed by an increase until 2022. …”

Trend of mental health-related services utilization between 2016 and 2022. by Fernanda Talarico (807333)

Trend of all service utilization for all conditions between 2016 and 2022. by Fernanda Talarico (807333)

Comparison of mental health-related services utilization between the pre (2016–2019) and post (2020–2022) pandemic onset periods. by Fernanda Talarico (807333)

Proviral load in blood was decreased in HTLV-1 infected CD133+ Hu-mice when vCTCF-BS was deleted. by Ancy Joseph (5634794)

Simulation result (1^st case, <i>v</i>₁). by Tuan Anh Nguyen (121944)

Regression model analysis of the influence of <i>ERCC1</i> rs3212986 on CWP. by Hao Deng (409186)

Subjects:

Expression and diagnostic value of the 8 hub genes in the GSE190635 validation dataset. by Wei He (131453)

Correlation matrix depicting significant (p ≤ 0.05) Spearman correlations between the relative abundance of root endophytic bacterial major phyla/class and the chemical characteris... by Rabiath F. R. Adigoun (14189090)

Estimated parameter values and model fit when the SPAM (Fig 1) was fitted on datasets. (<i>N</i> = 10,000) with the same zero-order correlations as has been meta-analytically estim... by Kimmo Sorjonen (495847)

Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using Eq 11, shown in decreasing order of influence.... by Harry Saxton (19165441)

“…Results are presented for progressively expanding discrete measurement sets (from Set 1 to Set 3F). Only parameters with influence values greater than 0.01 are shown.…”

Log2 fold change (FC), mean and standard deviation (SD) of each lipid specie from the normal liver (NL) and metabolic dysfunction-associated steatotic liver disease (MASLD) groups,... by Laia Bertran (3685147)

Boxplot of Teamwork and collaboration scores as a function of Time. by Thales Guardia de Barros (22216025)

Evaluation index results for the JS-10 phantom. by Masakazu Tsujimoto (22339504)

“…At ≥50 s/view, variation in the maximum and mean SUVs decreased, with the RSE remaining below 5%. In conclusion, accurate SUV measurement with ¹²³I-MIBG requires an acquisition time of ≥50 s/view, an SI product of approximately 120, and a Gaussian filter of 10 − 12 mm. …”

NEMA IEC body phantom. by Masakazu Tsujimoto (22339504)

“…At ≥50 s/view, variation in the maximum and mean SUVs decreased, with the RSE remaining below 5%. In conclusion, accurate SUV measurement with ¹²³I-MIBG requires an acquisition time of ≥50 s/view, an SI product of approximately 120, and a Gaussian filter of 10 − 12 mm. …”

Relationship between contrast, noise, and CNR. by Masakazu Tsujimoto (22339504)

“…At ≥50 s/view, variation in the maximum and mean SUVs decreased, with the RSE remaining below 5%. In conclusion, accurate SUV measurement with ¹²³I-MIBG requires an acquisition time of ≥50 s/view, an SI product of approximately 120, and a Gaussian filter of 10 − 12 mm. …”

JS-10 phantom. by Masakazu Tsujimoto (22339504)

“…At ≥50 s/view, variation in the maximum and mean SUVs decreased, with the RSE remaining below 5%. In conclusion, accurate SUV measurement with ¹²³I-MIBG requires an acquisition time of ≥50 s/view, an SI product of approximately 120, and a Gaussian filter of 10 − 12 mm. …”

The raw data used for the analyses in this study. by Masakazu Tsujimoto (22339504)

“…At ≥50 s/view, variation in the maximum and mean SUVs decreased, with the RSE remaining below 5%. In conclusion, accurate SUV measurement with ¹²³I-MIBG requires an acquisition time of ≥50 s/view, an SI product of approximately 120, and a Gaussian filter of 10 − 12 mm. …”

Distribution of average physical fitness scores across 30 provinces. by Weixin Chen (138569)

Subjects: