Distribution of deaths caused by risk factors for four major female-specific cancers between 2000 and 2021 across 51 U.S. states. by Ze Zhang (47230)

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Kaplan-Meier survivor estimates by functional outcome, age group, hospital bill payment and housing status. by Farayi Kaseke (19560197)

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Multivariate Cox proportional hazard analysis ratio of patient factors associated with treatment outcomes in HIV care, 2020-2022. by Ekerette Emmanuel Udoh (7326194)

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Trends in age-standardized death rates attributable to specific risk factors for four major female-specific cancers incidence (2000–2021) in the USA. by Ze Zhang (47230)

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Motifs significantly enriched in decreased ATAC peaks relative to unchanged ATAC peaks at 30 minutes. by Thomas G. Scott (4092892)

Isotype control overlays. by Chen Lu (135200)

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Original uncropped blot. by Chen Lu (135200)

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Raw Data. by Chen Lu (135200)

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Age-standardized rates of PUD globally and for 21 GBD regions by SDI, 1990–2021. by Wende Hao (10315597)

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Spatial Dubin panel model estimation results. by Xiaoyu Wan (644814)

“…Based on the Reference Relationship Table of the Classification of Core Industries of Digital Economy and the International Patent Classification (2023), the patent authorization data of digital technology from 2012 to 2022 were obtained, and the spatiotemporal situation of China’s digital technology innovation was analyzed by using ArcGIS software, Dagum’s Gini coefficient, and Moran’s I index, and the spatial Dubin panel model was used to explore the influencing factors of digital technology innovation. It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.…”

Estimates of the differencing parameter, d, in Eq (1). by Luis Alberiko Gil-Alana (14659817)

Estimates of the differencing parameter, d, in Eq (1). by Luis Alberiko Gil-Alana (14659817)

Odds Ratio of multivariable analysis of factors for <i>Campylobacter species.</i> by Amete Mihret Teshale (12072758)

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Low Psoas-Muscle index is associated with decreased survival in hepatocellular carcinoma treated with transarterial chemoembolization by Jin-Xing Zhang (3138960)

“…Key messages</p><p>Low psoas-muscle index is associated with decreased overall survival in hepatocellular carcinoma treated with transarterial chemoembolization (TACE).…”

The frequency distribution of the net surplus. by Lina Yu (1731598)

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Variable definition. by Lina Yu (1731598)

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S1 Dataset - by Lina Yu (1731598)

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Variable descriptive statistics. by Lina Yu (1731598)

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DART-ID decreases missing datapoints across runs. by Albert Tian Chen (6900215)

Odds ratio of multivariable analysis of factors for non-typhoidal <i>Salmonella.</i> by Amete Mihret Teshale (12072758)

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