Results 101 to 110 of about 616,181 (242)

Univariate Real Analysis

open access: yes
Preliminary version of a book on univariate real analysis, with 14 chapters and 2 appendices. 1. Real numbers; 2. Limits of real sequences; 3. Series; 4. Limits of real functions. 5. Elementary functions; 6. Continuous functions; 7. Derivatives; 8. Mean value theorems; 9. Taylor polynomials; 10. Real analytic functions; 11. Newton integral; 12. Riemann
openaire   +2 more sources

Master Regulator SMC1A, Stabilized by N6‐Methyladenosine Reader IGF2BP1, Promotes HCC Progression Through Facilitating Enhancer–Promoter Interaction of Nestin

open access: yesAdvanced Science, EarlyView.
IGF2BP1‐mediated m6A stabilization sustains SMC1A expression, enabling cohesin‐associated chromatin regulation of Nestin in hepatocellular carcinoma. This work reveals an epitranscriptomic‐chromatin‐cytoskeletal regulatory axis linked to malignant phenotypes and identifies SMC1A as a biologically relevant vulnerability in HCC.
Zhenxiang Peng   +7 more
wiley   +1 more source

OPTIMIZATION PROCESS OF GROWTH CURVES THROUGH UNIVARIATE ANALYSIS OPTIMIZACIÓN DE CURVAS DE CRECIMIENTO A TRAVÉS DE ANÁLISIS UNIVARIADO

open access: yesRevista Colombiana de Estadística, 2008
A methodology is suggested to jointly model treatments with quantitative levels measured in time, by combining the response surface and the growth curve techniques.
Guerrero Sara Cristina   +1 more
doaj  

PancDS in Real‐World Practice: A Prospective Multicenter Validation of a Clinical Decision‐Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis

open access: yesAdvanced Science, EarlyView.
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang   +13 more
wiley   +1 more source

ABHD17C‐Mediated S‐Depalmitoylation of BCL6B Enhances CD24 Transcription to Resist Macrophage Phagocytosis in Pancreatic Cancer

open access: yesAdvanced Science, EarlyView.
ABHD17C‐mediated depalmitoylation of BCL6B at Cys442 blocks its nuclear import and triggers ubiquitin‐dependent degradation, attenuating transcriptional repression of the anti‐phagocytic signal CD24. This mechanism enables pancreatic cancer cells to evade macrophage phagocytosis and fosters an immunosuppressive microenvironment.
Yalu Zhang   +9 more
wiley   +1 more source

Noninvasive Characterization of Tumor Heterogeneity in HNSCC: From Clinical Utility to Biological Correlates

open access: yesAdvanced Science, EarlyView.
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen   +15 more
wiley   +1 more source

SSR4 sustains Tertiary Lymphoid Structures by Regulation Quality Control of N‐linked Glycosylation During B‐cell Differentiation Into Plasmacyte in Colorectal Cancer

open access: yesAdvanced Science, EarlyView.
SSR4, a TRAP component induced in B cells, governs BAFFR N‐glycosylation via DDOST to sustain NF‐κB signaling, B‐cell differentiation, and TLS maturation. Its loss impairs anti‐tumor immunity, while overexpression improves antibody glycosylation and ADCC, revealing a critical regulator for cancer immunotherapy.
Wei Zhao   +15 more
wiley   +1 more source

Bias in data-driven replicability analysis of univariate brain-wide association studies

open access: yesScientific Reports
Recent studies have used big neuroimaging datasets to answer an important question: how many subjects are required for reproducible brain-wide association studies?
Charles D. G. Burns   +2 more
doaj   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

open access: yesAdvanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang   +10 more
wiley   +1 more source

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