Characteristics of included studies. by Rong Pi (21743379)

“…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”

Sensitivity analysis for acute fatigue subscale. by Rong Pi (21743379)

“…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”

Sensitivity analysis for inter-shift subscale. by Rong Pi (21743379)

“…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”

CFU counts and Gram stain of lung tissues 2 days following the injury. by Ghaith A. Bahader (21387572)

“…There was a significant decrease in the TBI/H + GM-CSF group in comparison to TBI/H+saline group (†p < 0.05). …”

Table 1_Dynamic evolution and influencing factors of green total factor productivity in the Yangtze River Economic Belt: a study based on the three-stage SBM-ML index model.xlsx by Fei Chen (13690)

“…The study revealed that (1) GTFP exhibits notable spatial disparities among the upper, middle, and lower reaches of the YREB, with the downstream areas showing higher levels than the upstream and midstream areas do. (2) After excluding environmental factors and random errors, the true GTFP level significantly decreases, indicating a notable environmental masking effect, with a masking effect of up to 63.9%. (3) The spatial distribution of GTFP overall shows a “low-high-low-high” pattern from west to east, forming an “N”-shaped spatial pattern. (4) The Tobit model regression results show that government governance enhances GTFP, while economic growth and intergovernmental fiscal decentralization hinder real GTFP. …”

Immunofluorescence expression of astrocyte and neuronal cells in brain tissues following the injury. by Ghaith A. Bahader (21387572)

“…(C) Analysis of NeuN+ positive cells in the peri-lesional areas showed a significant decrease in the neuronal cell numbers in the TBI/H groups, as compared to the Sham + saline group (* p < 0.05); n = 5–6 per experimental group. …”

Proposed model for CO formation and resolution in response to temperature variation in reptiles. by Laura González-Rodelas (12055227)

Statistical summaries. by Magdalena Kunat-Budzyńska (20565222)

“…Another important element is seasonality, which significantly affected only the lysozyme-like activity. …”

Table_1_Reduced serum neurotrophic factors and monoamine neurotransmitters in epilepsy patients with comorbid depression.DOCX by Shulei Sun (354595)

“…Objective<p>This study aimed to investigate the roles of neurotrophic factors (NTFs), monoamine neurotransmitters, and inflammatory processes in the pathophysiology of the comorbidity of epilepsy and depression.…”

Descriptive statistics of the sample. by Alex Bawuah (21702688)

Sample size characteristics. by Alex Bawuah (21702688)

Data used for the Study. by Alex Bawuah (21702688)

Acoustic Startle at 28 dpf. by Morgan Barnes (7876373)

Neonatal deletion of Yap in Scx-lineage cells disrupts collagen production in the tendon during postnatal development. by Heather L. Dingwall (14573796)

Supporting data for "The Mediating and Moderating Factors in the Association between Tooth Loss and Cognitive Decline" by Huimin Chen (12992361)

“…<p dir="ltr">Dementia has emerged as significant public health concerns, with Alzheimer's disease (AD) constituting the predominant subtype. …”

Table 1_Factors influencing net ecosystem carbon change in cold-temperate coniferous forests of the Da Xing’an Mountains: analysis across developmental stages based on stand, struc... by Zirui Wang (8783819)

“…Stand age, shaped by population dynamics, disturbance regimes, and management practices, significantly influences the global carbon cycle. Although forest development is known to correlate with productivity shifts, how production varies across specific stand developmental stages and the relative contributions of driving factors remain poorly understood.…”

Table 1_Bioinformatic identification of COLEC12 as a diagnostic biomarker and risk factor in pediatric FSGS.xlsx by Lei Gao (6566)

“…In FSGS, the T helper (Th) effector memory cell and macrophage M2 cell were significantly highly infiltrated. Meanwhile, regulatory T cells (Tregs) and plasma B cells showed a significant decrease. …”

Table 2_Bioinformatic identification of COLEC12 as a diagnostic biomarker and risk factor in pediatric FSGS.xlsx by Lei Gao (6566)

“…In FSGS, the T helper (Th) effector memory cell and macrophage M2 cell were significantly highly infiltrated. Meanwhile, regulatory T cells (Tregs) and plasma B cells showed a significant decrease. …”

Image 2_HIF‐1α modulates pancreatic cancer ECM proteins via the TGF‐β1/Smad signaling pathway introduction.tif by Houle Guo (21264647)

“…Pharmacological inhibition of either HIF-1α or TGF-β1 significantly decreased the expression of ECM proteins, while TGF-β1 stimulation enhanced their production. …”

Image 1_HIF‐1α modulates pancreatic cancer ECM proteins via the TGF‐β1/Smad signaling pathway introduction.tif by Houle Guo (21264647)

“…Pharmacological inhibition of either HIF-1α or TGF-β1 significantly decreased the expression of ECM proteins, while TGF-β1 stimulation enhanced their production. …”