Results 231 to 240 of about 8,082,283 (338)
The influence of positive parenting and positive teacher-student relationships on learning engagement of Korean middle school students-the mediating role of grit. [PDF]
Liu Y, Cho G, Liu X.
europepmc +1 more source
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley +1 more source
Psychological flexibility as a moderator of the association between premenstrual dysphoric disorder, depression, anxiety, positive parenting, and negative parenting: a cross-sectional study. [PDF]
Okajima J, Okajima I.
europepmc +1 more source
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
wiley +1 more source
Optimizing Engagement: Factors Influencing Family Participation in a Positive Parenting Program among Vulnerable Households with Young Children. [PDF]
Cebolla H, Martín JC, Rodrigo MJ.
europepmc +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Online positive parenting programme for promoting parenting competencies and skills: randomised controlled trial. [PDF]
Tuntipuchitanon S +4 more
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source

