Results 201 to 210 of about 421,329 (326)
Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory. [PDF]
Viana AT, Gonçalves KCM, Paez MS.
europepmc +1 more source
Fast Gradient-Based Inference with Continuous Latent Variable Models in Auxiliary Form [PDF]
Diederik P. Kingma
openalex +1 more source
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
Author Correction: An enhanced estimator of finite population variance using two auxiliary variables under simple random sampling. [PDF]
Ahmad S +6 more
europepmc +1 more source
Optimum stratification in bivariate auxiliary variables under Neyman allocation
Faizan Danish, S. E. H. Rizvi
openalex +2 more sources
Representation of the suggested mode of action of lactoferrin (Lf) in nonsmall cell lung cancer (NSCLC) A549 cells. Lf induces activation of caspase‐3 by activating p53 and AChE leading to decreased ACh concentrations. In turn, ACh signaling leads to activation of VEGF and AKT and blocking of caspase‐3.
Stuti Goel +9 more
wiley +1 more source
CAF‐mediated immunosuppression in ovarian cancer is driven by IDO1, reducing T‐cell function. Inhibiting IDO1 restores T‐cell proliferation and cytotoxicity, increases cancer cell apoptosis, and may help overcome CAF‐induced immune suppression in high‐grade serous ovarian cancer. Targeting IDO1 may improve antitumor immunity.
Hyewon Lee +3 more
wiley +1 more source
Modified Ratio-Cum-Product Estimators of Population Mean Using Two Auxiliary Variables
Jamiu Olasunkanmi Muili +5 more
openalex +2 more sources
Thrombolytic proteins profiling: High‐throughput activity, selectivity, and resistance assays
We present optimized biochemical protocols for evaluating thrombolytic proteins, enabling rapid and robust screening of enzymatic activity, inhibition resistance, and fibrin affinity, stimulation, and selectivity. The outcome translates to key clinical indicators such as biological half‐life and bleeding risk. These assays streamline the development of
Martin Toul +3 more
wiley +1 more source
ObjectiveThis study proposes a dynamic prediction method based on MIC‒NNG‒LSTM that addresses the typical delay, nonlinearity, and dynamic characteristics present in the incineration and flue gas treatment of high-concentration saline organic waste ...
LI Yan +4 more
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