Table 1_Oxidative balance score is independently associated with reduced prevalence of sarcopenia among US adults with metabolic syndrome.docx by Miaohong Wang (8975903)

“…Restricted cubic spline analysis confirmed that these relationships were linear. The impact of age was significant, with OBS benefits only observed in those aged 40 and older.…”

Table 2_Factors influencing bone mineral density in hyperparathyroidism phenotypes: a prospective study.xlsx by Margot Giocondo (21435500)

“…Additionally, a greater postoperative drop in PTH was associated with larger BMD gains at the spine (SD 0.07; mean 0.03) and left femur bone (SD 0.06; mean 0.02). …”

Data Sheet 4_Efficacy and safety of Shuxuening injection in intracerebral hemorrhage: a systematic review and meta-analysis.pdf by Wenting Song (822582)

“…Compared with the control group, the treatment group demonstrated better performance in reducing neurological impairment score [SMD = −0.99, 95% CI −1.24, −0.73], improving overall efficacy [RR = 1.22, 95% CI 1.14, 1.30] and ADL score [SMD = 2.01, 95%CI 1.55, 2.46], as well as decreasing the cerebral hematoma volume [MD = −6.98, 95% CI −8.76, −5.20] and cerebral edema volume [MD = −3.67, 95%CI -5.27, −2.06], with statistically significant differences observed. …”

Table 1_Factors influencing bone mineral density in hyperparathyroidism phenotypes: a prospective study.xlsx by Margot Giocondo (21435500)

“…Additionally, a greater postoperative drop in PTH was associated with larger BMD gains at the spine (SD 0.07; mean 0.03) and left femur bone (SD 0.06; mean 0.02). …”

Data Sheet 3_Efficacy and safety of Shuxuening injection in intracerebral hemorrhage: a systematic review and meta-analysis.pdf by Wenting Song (822582)

“…Compared with the control group, the treatment group demonstrated better performance in reducing neurological impairment score [SMD = −0.99, 95% CI −1.24, −0.73], improving overall efficacy [RR = 1.22, 95% CI 1.14, 1.30] and ADL score [SMD = 2.01, 95%CI 1.55, 2.46], as well as decreasing the cerebral hematoma volume [MD = −6.98, 95% CI −8.76, −5.20] and cerebral edema volume [MD = −3.67, 95%CI -5.27, −2.06], with statistically significant differences observed. …”

Data Sheet 2_Efficacy and safety of Shuxuening injection in intracerebral hemorrhage: a systematic review and meta-analysis.pdf by Wenting Song (822582)

“…Compared with the control group, the treatment group demonstrated better performance in reducing neurological impairment score [SMD = −0.99, 95% CI −1.24, −0.73], improving overall efficacy [RR = 1.22, 95% CI 1.14, 1.30] and ADL score [SMD = 2.01, 95%CI 1.55, 2.46], as well as decreasing the cerebral hematoma volume [MD = −6.98, 95% CI −8.76, −5.20] and cerebral edema volume [MD = −3.67, 95%CI -5.27, −2.06], with statistically significant differences observed. …”

Data Sheet 1_Efficacy and safety of Shuxuening injection in intracerebral hemorrhage: a systematic review and meta-analysis.pdf by Wenting Song (822582)

“…Compared with the control group, the treatment group demonstrated better performance in reducing neurological impairment score [SMD = −0.99, 95% CI −1.24, −0.73], improving overall efficacy [RR = 1.22, 95% CI 1.14, 1.30] and ADL score [SMD = 2.01, 95%CI 1.55, 2.46], as well as decreasing the cerebral hematoma volume [MD = −6.98, 95% CI −8.76, −5.20] and cerebral edema volume [MD = −3.67, 95%CI -5.27, −2.06], with statistically significant differences observed. …”

Optimisation of read depth, DNA quantity, and unique alternate observation threshold. by Melinda L. Tursky (20790436)

“…Variants with a prevalence of ≥ 10% within this cohort were excluded as likely sequencing artefacts, which excluded 10.5% of variants (D). The mean number of variants detected per sample above the standard CHIP threshold of ≥ 0.02 VAF increased linearly with subject age (E). …”

Data Sheet 1_Inverse associations of the lifestyle critical 9 with cardiorenal syndrome: the mediating role of the dietary inflammatory index.xlsx by Hongman Li (19546419)

“…The dose–response curve illustrates a linear relationship between LC9 and CRS; as LC9 increases, the occurrence of CRS decreases. …”

Table 1_Inverse associations of the lifestyle critical 9 with cardiorenal syndrome: the mediating role of the dietary inflammatory index.docx by Hongman Li (19546419)

“…The dose–response curve illustrates a linear relationship between LC9 and CRS; as LC9 increases, the occurrence of CRS decreases. …”

Land use intensity classes standard. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Land use transfer matrix 1990-2020 (km²). by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Study area habitat quality LISA clustering map. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Spato-temporal changes in land use types. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Pattern indices of landscape levels. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Table 1_Association between composite dietary antioxidant index and increased urinary albumin excretion: a population-based study.docx by Shaopeng Li (820947)

“…The prevalence of increased ACR decreased across the CDAI quartiles from 13.89% in Q1 to 10.11% in Q4. …”

Type level landscape index changes in 1990-2020. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

The role of IRF-1 in mediating T-cell immune imbalance in systemic lupus erythematosus and the construction of a diagnostic model by Zichen Huang (6587885)

“…Immune analysis revealed decreased numbers of resting CD4⁺ memory T cells and Tregs (<i>P</i> < 0.01), alongside expanded proinflammatory cells (M1/M2 macrophages, neutrophils; <i>P</i> < 0.01). …”

Location map of the study area. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Data source. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”