Raman signatures of inversion symmetry breaking structural transition in quasi-1D compound, (TaSe4)3I.

The breaking of inversion symmetry combined with spin-orbit coupling, can give rise to intrigu- ing quantum phases and collective excitations. Here, we report systematic temperature dependent Raman scattering and theoretical calculations of phonon modes across the inversion symmetry- breaking structural transitions in a quasi-one-dimensional compound (TaSe4)3I. Our investigation revealed the emergence of three additional Raman-active modes in Raman spectra of the low- temperature (LT) non-centrosymmetric (NC) structure of the material.

Biomarkers.

Background: Reduced syntactic complexity is the predominant linguistic impairment unique to the nonfluent agrammatic variant of PPA (naPPA). Reliable, objective and automatic methods for assessing syntactic complexity are currently lacking. Here, we introduce an automatic method for quantifying syntactic complexity in speech.

Luminescent terbium(III) probes containing an aromatic amino acid-based antenna for discrimination between adenine and guanine nucleotides.

Herein we present a series of luminescent Tb(III)-probes ([Tb-Ltrp], [Tb-Ltyr], and [Tb-Lphe]) for sensing and discriminating purine nucleoside polyphosphates (NPP) based on a modified DTTA chelator appended to aromatic amino acids (Laa). The optically most effective luminescent [Tb-Ltrp] probe preferentially discriminates the guanine-NPPs over the adenine-NPPs PeT-based modulation of Tb(III) luminescence within the biological concentration range.

Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions.

Wheat end-use quality is an important component of a wheat breeding program. Heat stress during grain filling impacts wheat quality traits, making it crucial to understand the genetic basis of wheat quality traits under post-anthesis heat stress. This study aimed to identify the genomic regions associated with wheat quality traits using genome-wide association studies (GWASs) and evaluate the prediction accuracy of different genomic selection (GS) models.