Table 5_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv by Xiaofeng Li (342614)

“…</p>Conclusion<p>We elucidated the significant impact of crotonylation on the ovarian cancer microenvironment and prognosis. …”

Table 4_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx by Xiaofeng Li (342614)

“…</p>Conclusion<p>We elucidated the significant impact of crotonylation on the ovarian cancer microenvironment and prognosis. …”

Image 4_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.tif by Xiaofeng Li (342614)

“…</p>Conclusion<p>We elucidated the significant impact of crotonylation on the ovarian cancer microenvironment and prognosis. …”

Table 6_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv by Xiaofeng Li (342614)

“…</p>Conclusion<p>We elucidated the significant impact of crotonylation on the ovarian cancer microenvironment and prognosis. …”

Table 1_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx by Xiaofeng Li (342614)

“…</p>Conclusion<p>We elucidated the significant impact of crotonylation on the ovarian cancer microenvironment and prognosis. …”

Table1_Characterization of morphological and chemical changes using atomic force microscopy and metabolism assays: the relationship between surface wax and skin greasiness in apple... by Yanqing Yang (1698535)

“…</p>Results<p>AFM results revealed that wax crystals disappeared as skin greasiness increased, accompanied by significant declines in roughness parameters Ra, Rq, Rmax, and Rz, which decreased by 70% to 85%. …”

多杀性巴氏杆菌流行过程中水平基因转移对其毒力与耐药的影响-附录.xlsx by He Jiao (19924953)

“…Additionally, genes related to biofilm systems (PST system, lsrACD) showed significant downregulation, yet unexpectedly, the biofilm content in the ΔA0R64_02365 increased, suggesting that PM might possess alternative biofilm formation mechanisms. …”

Data Sheet 1_Global, regional, and national burden of thyroid cancer in women of child-bearing age, 1990 to 2021 and predictions to 2035: An analysis of the global burden of diseas... by Tao Jiang (28401)

“…The burden of thyroid cancer among patients with women of child-bearing age exhibited a significant age-related trend, peaking in the 45–49 age group. …”

Dexmedetomidine pretreatment alleviates brain injury in middle cerebral artery occlusion (MCAO) model rats by activating PI3K/AKT/NF-κB signaling pathway by Wei Gao (2085)

“…Neurological function as assessed by the Longa neurological function score test demonstrated significantly reduced neurological scores and increased % infarct size in MCAO group which was blocked by DEX suggesting that DEX might be effective in treating ischemic stroke. …”

Table 1_Impact of fasting and refeeding on immune markers, hepatic gene expression, and gut microbiota in geese: insights into metabolic regulation and gut-liver interactions.xlsx by Yi Liu (36759)

“…In this study, biochemical, transcriptome and 16S rRNA sequencing techniques were used to investigate the physiological effects of fasting and refeeding on immune responses, liver gene expression, and gut microbiota composition in geese. Fasting led to a significant reduction in circulating levels of IgA and IFN-γ, while IgG, TNF-α, IL-6, and IL-10 levels remained stable. …”

Table 2_Impact of fasting and refeeding on immune markers, hepatic gene expression, and gut microbiota in geese: insights into metabolic regulation and gut-liver interactions.xlsx by Yi Liu (36759)

“…In this study, biochemical, transcriptome and 16S rRNA sequencing techniques were used to investigate the physiological effects of fasting and refeeding on immune responses, liver gene expression, and gut microbiota composition in geese. Fasting led to a significant reduction in circulating levels of IgA and IFN-γ, while IgG, TNF-α, IL-6, and IL-10 levels remained stable. …”

Data_Sheet_1_Banxia-Yiyiren alleviates insomnia and anxiety by regulating the gut microbiota and metabolites of PCPA-induced insomnia model rats.zip by Liang Wang (23021)

“…Through 16S rRNA gene sequencing, at the phylum level, compared with those in G1, the relative abundances of Bacteroidota and Proteobacteria in G2 increased, whereas the relative abundance of Firmicutes decreased. …”

Supplementary files by Ali nasith (20645786)

“…Likewise, with the use of games/internet, there was a decrease in the tendency of addiction in the religious group. …”

Non-random tree species loss shifts soil fungal communities by Sirong Zhang (20831093)

“…Preferential loss of higher-SLA species resulted in significant decreases in soil fungal diversity, shifts in community composition and simplifications in fungal co-occurrence network. …”

Optimizing Irradiation Dose for <i>Drosophila melanogaster</i> Males to Enhance Heterospecific Sterile Insect Technique Against <i>Drosophila suzukii</i> by Flavia Cerasti (21075827)

“…However, longevity decreased with increasing doses, with males irradiated at 160–180 Gy showing a lifespan reduction of up to 50 days compared to controls. …”

Image 1_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Image 8_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Image 6_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Image 2_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”

Image 7_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…A Random Forest classifier reached 86. The system achieved a 7% accuracy rate in differentiating cognitive from meditative states while identifying P300 amplitude and frontal alpha power, together with beta power as significant predictors.…”