Image 3_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg حسب Eisa Mahyari (9681962)

"…Furthermore, we employed sparse decomposition of arrays (SDA) analysis, an unsupervised machine learning method, to examine the high-dimensional transcriptional landscape of our data and identify complex and nonlinear relationships. …"

Data Sheet 3_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.xlsx حسب Eisa Mahyari (9681962)

"…Furthermore, we employed sparse decomposition of arrays (SDA) analysis, an unsupervised machine learning method, to examine the high-dimensional transcriptional landscape of our data and identify complex and nonlinear relationships. …"

Image 7_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpg حسب Eisa Mahyari (9681962)

"…Furthermore, we employed sparse decomposition of arrays (SDA) analysis, an unsupervised machine learning method, to examine the high-dimensional transcriptional landscape of our data and identify complex and nonlinear relationships. …"

Image 1_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg حسب Eisa Mahyari (9681962)

"…Furthermore, we employed sparse decomposition of arrays (SDA) analysis, an unsupervised machine learning method, to examine the high-dimensional transcriptional landscape of our data and identify complex and nonlinear relationships. …"

Image 2_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg حسب Eisa Mahyari (9681962)

"…Furthermore, we employed sparse decomposition of arrays (SDA) analysis, an unsupervised machine learning method, to examine the high-dimensional transcriptional landscape of our data and identify complex and nonlinear relationships. …"

Image 4_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg حسب Eisa Mahyari (9681962)

"…Furthermore, we employed sparse decomposition of arrays (SDA) analysis, an unsupervised machine learning method, to examine the high-dimensional transcriptional landscape of our data and identify complex and nonlinear relationships. …"

Image 8_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg حسب Eisa Mahyari (9681962)

"…Furthermore, we employed sparse decomposition of arrays (SDA) analysis, an unsupervised machine learning method, to examine the high-dimensional transcriptional landscape of our data and identify complex and nonlinear relationships. …"

Missing value percentage for variables. حسب Xin Liu (43569)

"…OBS was applied to eight machine learning algorithms to develop a predictive model and assess its performance. …"

Coefficients path of LASSO model. حسب Xin Liu (43569)

"…OBS was applied to eight machine learning algorithms to develop a predictive model and assess its performance. …"

Cross validation curve of LASSO model. حسب Xin Liu (43569)

"…OBS was applied to eight machine learning algorithms to develop a predictive model and assess its performance. …"

The flowchart of study participants’ selection. حسب Xin Liu (43569)

"…OBS was applied to eight machine learning algorithms to develop a predictive model and assess its performance. …"

Scale scores of all participants. حسب Sylwia Sumińska (21169999)

"…An essential aspect of mind-body therapies is learning to be mindful of emotional reactions and bodily sensations, a process defined as interoceptive awareness. …"

Image_1_Impact of fat intake on [18F]AlF-NOTA-FAPI-04 uptake in normal abdominal organs.TIF حسب Jiashun Dai (20137596)

"…The mean standardized uptake value (SUV_mean) of gallbladder, liver, small intestine and pancreas were measured in ¹⁸F-FAPI and ¹⁸F-FDG PET/CT.…"

Table 1_Techno-economic analysis of ocean iron fertilization.docx حسب C. Ward (7771667)

"…The first-of-a-kind (FOAK) levelized cost of carbon (LCOC) for OIF deployment is approximately $200 per tonne of CO₂. Learning rates are applied, and prospective nth-of-a-kind (NOAK) costs decrease to approximately $180 per tonne of CO₂. …"

Suppressing TLR4 alleviates cerebral injury in heatstroke rats through the modulation of microglial polarization حسب Xiaomin Wu (20328165)

"…Additionally, TAK-242 improved learning and memory impairments associated with HS and alleviated histopathological changes observed in the hippocampus. …"

Table 1_Assessing virtual reality presence through physiological measures: a comprehensive review.xlsx حسب Danping Wang (1888792)

"…We analyzed papers with physiological measurement methods and noted additional usage of subjective questionnaires. …"

Perspectives on research DTTC (Thomas et al., 2025) حسب Donna Thomas (12427672)

"…More needs to be done to decrease the perceived gap between researchers and clinicians to facilitate implementation of evidence-based practice in nonresearch contexts.…"

Supplementary Material for: Ectopic ACTH-dependent Cushing’s syndrome Emerging at a Late Stage of a Mixed Histology Neuroendocrine Neoplasm: a case report حسب Meyers M. (19672471)

"…Urinary free cortisol (UFC) measurement was 21-fold the upper limit of the reference range (3614.0 nmol/24h), and cortisol concentration did not decreases after 1mg-dexamethasone suppression test (1812 nmol/L for an expected value < 50 nmol/L), confirming the ACTH-dependent Cushing's syndrome (CS). …"

Image 2_Comprehensive analysis of αβT-cell receptor repertoires reveals signatures of thymic selection.jpeg حسب Daniil V. Luppov (20740358)

"…At the local scale we used dedicated statistical and machine learning methods coupled with a probabilistic model of the V(D)J rearrangement process to infer patterns in the CDR3 region that are either enriched or depleted during the course of selection. …"

Image 1_Comprehensive analysis of αβT-cell receptor repertoires reveals signatures of thymic selection.jpeg حسب Daniil V. Luppov (20740358)

"…At the local scale we used dedicated statistical and machine learning methods coupled with a probabilistic model of the V(D)J rearrangement process to infer patterns in the CDR3 region that are either enriched or depleted during the course of selection. …"