Results 41 to 50 of about 18,707,175 (333)

Leveraging current insights on IL‐10‐producing dendritic cells for developing effective immunotherapeutic approaches

open access: yesFEBS Letters, EarlyView.
In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali   +3 more
wiley   +1 more source

Active learning strategies for atomic cluster expansion models [PDF]

open access: yesarXiv, 2022
The atomic cluster expansion (ACE) was proposed recently as a new class of data-driven interatomic potentials with a formally complete basis set. Since the development of any interatomic potential requires a careful selection of training data and thorough validation, an automation of the construction of the training dataset as well as an indication of ...
arxiv  

On the number of D-optimal designs

open access: yesJournal of Combinatorial Theory, Series A, 1994
AbstractThere is only one essentially different D-optimal design for each order n = 2, 6, 10, and 14, but three such designs for n = 18.
openaire   +2 more sources

FoxO1 signaling in B cell malignancies and its therapeutic targeting

open access: yesFEBS Letters, EarlyView.
FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac   +3 more
wiley   +1 more source

A $p$-step-ahead sequential adaptive algorithm for D-optimal nonlinear regression design [PDF]

open access: yesarXiv, 2023
Under a nonlinear regression model with univariate response an algorithm for the generation of sequential adaptive designs is studied. At each stage, the current design is augmented by adding $p$ design points where $p$ is the dimension of the parameter of the model.
arxiv  

Optimality regions for designs in multiple linear regression models with correlated random coefficients [PDF]

open access: yesJournal of Statistical Planning and Inference (2020), 2019
This paper studies optimal designs for linear regression models with correlated effects for single responses. We introduce the concept of rhombic design to reduce the computational complexity and find a semi-algebraic description for the D-optimality of a rhombic design via the Kiefer-Wolfowitz equivalence theorem.
arxiv   +1 more source

Making tau amyloid models in vitro: a crucial and underestimated challenge

open access: yesFEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms

open access: yesFEBS Letters, EarlyView.
Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze   +3 more
wiley   +1 more source

Sparse kernel density estimation technique based on zero-norm constraint [PDF]

open access: yes, 2010
A sparse kernel density estimator is derived based on the zero-norm constraint, in which the zero-norm of the kernel weights is incorporated to enhance model sparsity.
Chen, S, Harris, C J, Hong, Xia
core   +1 more source

Refining the NaV1.7 pharmacophore of a class of venom‐derived peptide inhibitors via a combination of in silico screening and rational engineering

open access: yesFEBS Letters, EarlyView.
Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma   +8 more
wiley   +1 more source

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