Left ventricular hypertrophy is associated with poor prognosis and adverse events. Left ventricular and left atrial global strain and left atrial reservoir strain (LV-GS; LA-GS; LA-RS) could be used as markers for myocardial function in different ventricular remodeling forms. This study aimed to evaluate LV-GS and LA-GS scores in different ventricular remodeling variants and identify risk factors for myocardial dysfunction. This cross-sectional study was divided into four groups of ventricular remodeling normal geometry, eccentric hypertrophy (EH), concentric hypertrophy (CH), and concentric remodeling (CR). Strain analysis was obtained using standardized protocols. We included 121 subjects, 33 with previous myocardial infarction (MI). We found that EH had the lowest LV-GS and CH, the lowest LA-GS, and LA-RS. Atrial and ventricular dysfunction was present in 40 (33%) and 14 (11.5%) subjects, respectively. Smoking, male sex, and previous MI were associated with LV dysfunction and smoking and dyslipidemia with LA dysfunction; EH was closely associated with LV dysfunction and CH with LA dysfunction. We conclude that different ventricular geometry types had echocardiographic profiles associated with different risk factors for dysfunction assessed by strain. The assessment of ventricular remodeling by global strain could be used as a complementary tool in the echocardiographic evaluation of ventricular and atrial function. We conclude that different ventricular geometry types had echocardiographic profiles associated with different risk factors for dysfunction assessed by strain. The assessment of ventricular remodeling by global strain could be used as a complementary tool in the echocardiographic evaluation of ventricular and atrial function.Previous work has shown that infants as young as 8 months of age can use certain features of the environment, such as the shape or color of visual stimuli, as cues to organize simple inputs into hierarchical rule structures, a robust form of reinforcement learning that supports generalization of prior learning to new contexts. However, especially in cluttered naturalistic environments, there are an abundance of potential cues that can be used to structure learning into hierarchical rule structures. It is unclear how infants determine what features constitute a higher-order context to organize inputs into hierarchical rule structures. Here, we examine whether 9-month-old infants are biased to use social stimuli, relative to non-social stimuli, as a higher-order context to organize learning of simple visuospatial inputs into hierarchical rule sets. Infants were presented with four face/color-target location pairings, which could be learned most simply as individual associations. Alternatively, infants could use the faces or colorful backgrounds as a higher-order context to organize the inputs into simpler color-location or face-location rules, respectively. Infants were then given a generalization test designed to probe how they learned the initial pairings. The results indicated that infants appeared to use the faces as a higher-order context to organize simpler color-location rules, which then supported generalization of learning to new face contexts. These findings provide new evidence that infants are biased to organize reinforcement learning around social stimuli.The genetic basis of flowering time changes across environments, and pleiotropy may limit adaptive evolution of populations in response to local conditions. However, little information is known about how genetic architecture changes among environments. We used genome-wide association studies (GWAS) in Boechera stricta (Graham) Al-Shehbaz, a relative of Arabidopsis, to examine flowering variation among environments and associations with climate conditions in home environments. Also, we used molecular population genetics to search for evidence of historical natural selection. GWAS found 47 significant quantitative trait loci (QTLs) that influence flowering time in one or more environments, control plastic changes in phenology between experiments, or show associations with climate in sites of origin. Genetic architecture of flowering varied substantially among environments. We found that some pairs of QTLs showed similar patterns of pleiotropy across environments. A large-effect QTL showed molecular signatures of adaptive evolution and is associated with climate in home environments. The derived allele at this locus causes later flowering and predominates in sites with greater water availability. This work shows that GWAS of climate associations and ecologically important traits across diverse environments can be combined with molecular signatures of natural selection to elucidate ecological genetics of adaptive evolution.The shoot apical meristems (SAMs) of land plants are crucial for plant growth and organ formation. https://www.selleckchem.com/products/dexketoprofen-trometamol.html In several angiosperms, the HAIRY MERISTEM (HAM) genes function as key regulators that control meristem development and stem cell homeostasis. To date, the origin and evolutionary history of the HAM family in land plants remains unclear. Potentially shared and divergent functions of HAM family members from angiosperms and non-angiosperms are also not known. In constructing a comprehensive phylogeny of the HAM family, we show that HAM proteins are widely present in land plants and that HAM proteins originated prior to the divergence of bryophytes. The HAM family was duplicated in a common ancestor of angiosperms, leading to two distinct groups type I and type II. Type-II HAM members are widely present in angiosperms, whereas type-I HAM members were independently lost in different orders of monocots. Furthermore, HAM members from angiosperms and non-angiosperms (including bryophytes, lycophytes, ferns and gymnosperms) are able to replace the role of the type-II HAM genes in Arabidopsis, maintaining established SAMs and promoting the initiation of new stem cell niches. Our results uncover the conserved functions of HAM family members and reveal the conserved regulatory mechanisms underlying HAM expression patterning in meristems, providing insight into the evolution of key stem cell regulators in land plants.