Results 51 to 60 of about 13,793,701 (286)
Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Frontiers in Psychology, 2023 Relational goals have a positive impact on teachers’ classroom performance, but little is known about the antecedents of these goals. One of the most important reasons for choosing teaching as a career is the desire to work with children/adolescents ...
Lia Oberhauser, Silke Hertel
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Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
Advanced Science, EarlyView.StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
A Meta-Theoretical Discussion on Strengthening the Processual-Relational Sociology of Childhood
İnsan & Toplum, 2023 The relational sociology of childhood often has a structural character; however, the main problem is that the structural character largely confines the “ontological turn” in childhood studies.
Fazilet Dalfidan
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DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Advanced Science, EarlyView.Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks
Advanced Science, EarlyView.Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley +1 more source
Experiencing relational depth in therapy : What we know so far [PDF]
, 2013 This chapter summarises the current research on the experience of relational depth in ...
Cooper, Mick
core +3 more sources
“[She] said : ‘take the test’ and I took the test”. Relational work as a framework to approach directiveness in prenatal screening of Chinese clients in Hong Kong [PDF]
, 2013 In this paper we apply the framework of relational work, or the work individuals invest in maintaining their relationships (Locher and Watts 2005), to the analysis of prenatal screening (PS) for Down Syndrome of Chinese clients in Hong Kong.
Schnurr, S +3 more
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Advanced Science, EarlyView.Across scientific, technological, commercial, and pharmacological domains, individuals and organizations disengage from a previously adopted practice not at random, but as their network neighbors detach. The probability of detachment rises with the number of neighbors who have already disengaged. Preferential detachment reshapes network disintegration,
Binglu Wang +5 more
wiley +1 more source
Inclusive leadership and work-family enrichment: the roles of relational energy and power distance
Frontiers in PsychologyFew studies have systematically examined how inclusive leadership affects employee work-family enrichment. Based on social contagion theory and the resource model of work-family enrichment, this research examined how and when inclusive leadership ...
Junlin Zhang, Zongrui Liu, Jianli Wang
doaj +1 more source