Results 91 to 100 of about 133,004 (188)

Constrained numerical deconvolution using orthogonal polynomials. [PDF]

Heliyon
Maestre JM, Chanfreut P, Aarons L.
europepmc   +1 more source

The Pier Luigi Nervi's concrete structure of Palazzetto dello Sport: Modeling and dynamic characterization

Structural Concrete, EarlyView.
Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella, Gianluca Ranzi, Francesco Romeo   +2 more
wiley   +1 more source

Exactly Solvable Anharmonic Oscillator, Degenerate Orthogonal Polynomials and Painlevé II. [PDF]

Commun Math Phys
Bertola M, Chavez-Heredia E, Grava T.
europepmc   +1 more source

Enhancing SHM with the extension of the deformation area difference method into the strain area difference method

Structural Concrete, EarlyView.
Abstract This study contributes to the fields of nondestructive testing (NDT) and structural health monitoring (SHM), which are pivotal for extending the service life of infrastructure and aligning with sustainability goals in construction. The study emphasizes an advanced application of the deformation area difference (DAD) Method, focusing on the ...
Tarik Čamo, Eftychia Apostolidi, Danièle Waldmann   +2 more
wiley   +1 more source

Trade off between variable and fixed size normalization in orthogonal polynomials based iris recognition system. [PDF]

Springerplus, 2016
Krishnamoorthi R, Anna Poorani G.
europepmc   +1 more source

Robustness assessment of reinforced concrete structures for different failure scenarios

Structural Concrete, EarlyView.
Abstract This study describes the robustness assessment of 3D reinforced concrete structures analyzing the response of the 2D frames in different design configurations and failure scenarios. The structures are characterized by both frames with wide beams and seismic‐resistant frames with deep beams.
E. Miceli, Massimiliano De Iuliis, P. Castaldo   +2 more
wiley   +1 more source

Applications of Artificial Intelligence in Neurological Voice Disorders

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao, Aki Koivu, Kristina Simonyan   +2 more
wiley   +1 more source

Similarities and differences in the gene expression signatures of physiological age versus future lifespan

Aging Cell, Volume 24, Issue 4, April 2025.
The source of variability in lifespan among genetically identical Caenorhabditis elegans is a mystery. We used biomarkers of aging to isolate prospectively long‐lived and short‐lived individuals from the same population. We then used transcriptomic approaches to characterize these long‐ and short‐lived sub‐populations against the average physiological ...
Matthew C. Mosley, Holly E. Kinser, Olivier M. F. Martin, Nicholas Stroustrup, Tim Schedl, Kerry Kornfeld, Zachary Pincus   +6 more
wiley   +1 more source

Confidence and information usage: Evidence from soil testing in India 

American Journal of Agricultural Economics, EarlyView.
Abstract Informational barriers are often considered to be a major constraint to the adoption of improved farming practices, inputs, and technologies by smallholder farmers. In the Indian context, it is widely believed that farmers misapply chemical fertilizers because they lack scientific information on soil conditions and corresponding fertilizer ...
Jared Gars, Ram Fishman, Avinash Kishore, Yoav Rothler, Patrick S. Ward   +4 more
wiley   +1 more source

How data or error covariance can change and still retain BLUEs as well as their covariance or the sum of squares of errors

Australian &New Zealand Journal of Statistics, EarlyView.
Summary Misspecification of the error covariance in linear models usually leads to incorrect inference and conclusions. We consider two linear models, A$$ \mathcal{A} $$ and B$$ \mathcal{B} $$, with the same design matrix but different error covariance matrices. The conditions under which every representation of the best linear unbiased estimator (BLUE)
Stephen J. Haslett, Jarkko Isotalo, Augustyn Markiewicz, Simo Puntanen   +3 more
wiley   +1 more source