Results 41 to 50 of about 27,881 (287)

Structural and biochemical insights into the thermostable esterase Ta0887 from Thermoplasma acidophilum

open access: yesFEBS Open Bio, EarlyView.
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey   +4 more
wiley   +1 more source

Effective string theory on a torus: the 3d Ising domain wall

open access: yesJournal of High Energy Physics
We use effective string theory (EST) to describe a toroidal 2d domain wall embedded in a 3d torus. In particular, we use TBA to compute the free energy of the domain wall in an expansion in inverse powers of the area, up to the second non-universal order
David Lima   +3 more
doaj   +1 more source

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou   +16 more
wiley   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang   +4 more
wiley   +1 more source

Thermodynamic diagnostics for complex Langevin simulations: the role of configurational temperature

open access: yesJournal of High Energy Physics
The complex Langevin method (CLM) offers a potential solution to the sign problem in quantum field theories with complex actions, but can converge to incorrect results even when simulations appear stable.
Anosh Joseph, Arpith Kumar
doaj   +1 more source

Improved coarse-graining methods for two dimensional tensor networks including fermions

open access: yesJournal of High Energy Physics, 2023
We show how to apply renormalization group algorithms incorporating entanglement filtering methods and a loop optimization to a tensor network which includes Grassmann variables which represent fermions in an underlying lattice field theory.
Muhammad Asaduzzaman   +4 more
doaj   +1 more source

Algorithms and Environments for Complementarity [PDF]

open access: yes, 2000
Complementarity problems arise in a wide variety of disciplines. Prototypical examples include theWardropian andWalrasian equilibrium models encountered in the engineering and economic disciplines and the first order optimality conditions for nonlinear
Munson, Todd
core  

Practical Performance of Random Projections in Linear Programming [PDF]

open access: yes, 2022
The use of random projections in mathematical programming allows standard solution algorithms to solve instances of much larger sizes, at least approximately.
Pierre-Louis Poirion   +5 more
core   +1 more source

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian   +6 more
wiley   +1 more source

Development and applications of theoretical algorithms for simulations of materials at extreme conditions

open access: yes, 2017
Materials at extreme conditions exhibit properties that differ substantially from ambient conditions. High pressure and high temperature expose anharmonic, non-linear behavior, and can provoke phase transitions among other effects. Experimental setups to study that sort of effects are typically costly and experiments themselves are laborious.
openaire   +4 more sources

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