Results 91 to 100 of about 3,693,066 (305)

Engineering IL‐4 resistant proinflammatory human myeloid cells for cancer immunotherapy

open access: yesMolecular Oncology, EarlyView.
We developed a scalable workflow to generate proinflammatory human myeloid cells. CRISPR/Cas9‐edited CD34+ hematopoietic stem and progenitor cells were expanded and differentiated with M‐CSF. Deletion of STAT6 or STAT6/NFKB1 enhanced macrophage proinflammatory gene expression and cytokine secretion in the presence of IL‐4 while maintaining antibody ...
Theresa Barberi, Alan D. Friedman
wiley   +1 more source

The evaluation of potential for the exploration and development of coalbed methane resources based on an improved uncertainty measure optimization model

open access: yesEnergy Exploration & Exploitation, 2019
The recognition criteria of credible degree in uncertainty measure theory are improved based on the concept of distance discriminant and used to evaluate the potential for exploration and development of coalbed methane.
Jie Fang, Hujun He, Le An, Gang Jin
doaj   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

Inflation uncertainty revisited: A proposal for robust measurement [PDF]

open access: yes
Any measure of unobserved inflation uncertainty relies on specific assumptions which are most likely not fulfilled completely. This calls into question whether an individual measure delivers a reliable signal.
Christian Grimme   +2 more
core  

Complex Fermatean Neutrosophic Sets and their Applications in Decision Making [PDF]

open access: yesNeutrosophic Sets and Systems
Complex Neutrosophic Sets have emerged as a groundbreaking paradigm for handling uncertainty in complex-valued variables. By defining truth, indeterminacy, and falsity membership functions within the unit circle of the complex plane, this innovative ...
Vijaya V, Said Broumi , Manikandan H
doaj   +1 more source

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

open access: yesFEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão   +3 more
wiley   +1 more source

Inflation Forecast Uncertainty [PDF]

open access: yes
We study the inflation uncertainty reported by individual forecasters in the Survey of Professional Forecasters 1969-2001. Three popular measures of uncertainty built from survey data are analyzed in the context of models for forecasting and asset ...
Soderlind, Paul, Giordani, Paolo
core  

Modelling the Measurement Uncertainty by Intervals

open access: yesJ. Univers. Comput. Sci., 1998
JUCS - Journal of Universal Computer Science Volume Nr.
Wilke,Fabiana   +3 more
openaire   +3 more sources

Two fuzziness indexes proposed by Kaufmann: observations about them

open access: yesJournal of Computer Science and Technology, 2009
Professor Arnold Kaufmann did propose at least two types of indexes for estimating fuzziness in finite standard fuzzy sets. First one has an analogue formulation to that stated by Claude Shannon for measuring uncertainty in a given system.
Carlos M. Sierra Duque, Hernán Álvarez
doaj  

Embracing uncertainty in time: A Bayesian dynamic mixing model for isotopic diet estimation

open access: yesMethods in Ecology and Evolution
Isotopic mixing models are powerful tools in ecology for estimating diets. Since their initial formulation, these models have evolved into two distinct branches: Bayesian mixing models and dynamic mixing models.
Emilie Cathelin   +3 more
doaj   +1 more source

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