Wheat distribution and bioclimatic factors for 2061–2080. by Khalifa M. Al-Kindi (3719854)

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The bioclimatic factors crucial for wheat production in Oman. by Khalifa M. Al-Kindi (3719854)

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Wheat distribution and bioclimatic factors for 2041–2060. by Khalifa M. Al-Kindi (3719854)

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The raw data used in this study. by Yu Fu (16582)

“…Additionally, multiple myeloma (MM), myelodysplastic/myeloproliferative neoplasms, and other hematopoietic neoplasms have shown significant increases in prevalence, incidence, mortality, and DALYs in China. …”

Model selection based on best fit. by Angelina Mageni Lutambi (22097223)

“…<div><p>Malaria remains a significant public health challenge, particularly among vulnerable populations in high-burden countries like Tanzania. …”

Epigenetic fine mapping and motif analysis for the TUFM locus. by Daniela Fusco (10027975)

a, Anti-correlation of gene expression between <i>dmdR1</i> and its predicted regulon. Left: Pearson correlation coefficients (PCCs) between <i>dmdR1</i> and all genes with a DmdR1 position weight matrix (PWM) score greater than 15 in their regulatory region. The vertical dashed line marks the refined PWM score threshold of 22.875. The horizontal dotted lines mark PCC = ±0.43, corresponding to an adjusted <i>p</i>-value of 0.05. Right: Target genes immediately downstream of a predicted DmdR1 binding site, ordered by decreasing PWM score.... by Hannah E. Augustijn (10773096)

“…Right: Target genes immediately downstream of a predicted DmdR1 binding site, ordered by decreasing PWM score. …”

Prognostic model for the red blood cell-platelet ratio and its trajectory categories during hospitalization. by Jie Zhao (49409)

Prognostic model for the red blood cell-platelet ratio and its trajectory categories during ICU stay. by Jie Zhao (49409)

Fundus images with no glaucoma through CLAHE with reverse polar transformation, GradCAM++ heatmap of ConvNeXt-S model trained on polar with “donut method”, attention map of DeiT-S... by Sirikorn Sangchocanonta (20917797)

Forest plots of primary outcomes after negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Subgroup analysis of the therapeutic effects of negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Characteristics of the included studies. by Si He (3236646)

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Trial sequential analysis of primary outcomes after negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Trial sequential analysis of secondary outcomes after negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Pooled effect of the therapeutic effects of negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Forest plots of secondary outcomes after negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Extracted data and used for analysis. by Si He (3236646)

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Excluded studies with reasons for exclusion. by Si He (3236646)

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Flow diagram of the studies included in the meta-analysis. by Si He (3236646)

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