Image 4_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg حسب Jian Zhang (1682)

"…Background<p>Diabetic retinopathy (DR) is a leading microvascular complication of diabetes mellitus, causing irreversible vision loss in adults worldwide. …"

Image 1_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg حسب Jian Zhang (1682)

"…Background<p>Diabetic retinopathy (DR) is a leading microvascular complication of diabetes mellitus, causing irreversible vision loss in adults worldwide. …"

Image 2_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg حسب Jian Zhang (1682)

"…Background<p>Diabetic retinopathy (DR) is a leading microvascular complication of diabetes mellitus, causing irreversible vision loss in adults worldwide. …"

Table 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Table 4_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Table 5_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Table 2_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Table 3_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Data Sheet 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.docx حسب Jingjing Chen (293564)

"…A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"

Simultaneous Inference for Monotone and Smoothly Time-Varying Functions Under Complex Temporal Dynamics حسب Tianpai Luo (22145637)

"…<p>We propose a new framework for the simultaneous inference of monotone and smoothly time-varying functions under complex temporal dynamics. …"

Implementation of a Bayesian Optimization Framework for Interconnected Systems حسب Leonardo D. González (20571619)

"…Gray-box modeling, wherein the performance function is treated as a composition of known and unknown intermediate functions <i>f</i>(<i>x</i>, <i>y</i>(<i>x</i>)) (where <i>y</i>(<i>x</i>) is a GP model), offers a solution to this limitation; however, generating an analytical probability density for <i>f</i> from the Gaussian density of <i>y</i>(<i>x</i>) is often an intractable problem (e.g., when <i>f</i> is nonlinear). …"

<b> </b> GoF values for males and females together with the corresponding effect sizes (ES) of the observed differences. (A-B) Colored boxplots show the distributions of the median... حسب Kevin J. Wischnewski (21354521)

Figure 1 from Decoding the Genomic and Functional Landscape of Emerging Subtypes in Ovarian Cancer حسب Giulia Micoli (22547985)

Image 4_Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer.tif حسب Luqian Liu (10814985)

"…Disulfidptosis was first proposed in 2023 as a novel programmed cell death mode associated with the cytoskeleton. …"

Image 3_Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer.tif حسب Luqian Liu (10814985)

"…Disulfidptosis was first proposed in 2023 as a novel programmed cell death mode associated with the cytoskeleton. …"

Image 5_Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer.tif حسب Luqian Liu (10814985)

"…Disulfidptosis was first proposed in 2023 as a novel programmed cell death mode associated with the cytoskeleton. …"

Image 6_Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer.tif حسب Luqian Liu (10814985)

"…Disulfidptosis was first proposed in 2023 as a novel programmed cell death mode associated with the cytoskeleton. …"

Image 1_Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer.tif حسب Luqian Liu (10814985)

"…Disulfidptosis was first proposed in 2023 as a novel programmed cell death mode associated with the cytoskeleton. …"

Image 2_Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer.tif حسب Luqian Liu (10814985)

"…Disulfidptosis was first proposed in 2023 as a novel programmed cell death mode associated with the cytoskeleton. …"

Case 2: PADR with load scheduling. حسب Hisham Alghamdi (20114096)

"…MATLAB is used to do a load scheduling simulation for home appliances based on the OAWDO algorithm. …"