Results 21 to 30 of about 9,050,108 (214)
Validation of the German work-related basic need satisfaction scale (W-BNS-G)
Abstract Currently, there is no validated German tool that captures the basic needs as outlined in Self-Determination Theory (SDT) in the organizational context. To be able to collect reliable and valid data for research and use the results of German research on SDT to derive and implement empirically grounded practical implications that ...
Klara Grünwald +5 more
+8 more sources
Validation of the Children’s Intrinsic Needs Satisfaction Scale among Canadian youth: psychometric properties, criterion-related validity and multitrait multimethod confirmatory factor analysis [PDF]
Introduction Based on self-determination theory, the Children’s Intrinsic Needs Satisfaction Scale (CINSS) measures autonomy, competence and relatedness at school, home and with peers. The factor structure and criterion-related validity of the CINSS in the Canadian youth population are tested using data from the Canadian Student ...
Heather Orpana +3 more
openaire +3 more sources
Perception of University Nursing Students and Their Basic Psychological Needs in Blended Learning [PDF]
Background: Blended learning, which integrates face-to-face and online instruction, is increasingly being adopted. It has the potential to enhance nursing students' satisfaction and competence, independence, and relatedness.
Nora Nasser Ibrahim +3 more
doaj +1 more source
The mediating role of alexithymia in the relationship between triangulation and psychological distress of women and men on the verge of divorce [PDF]
Extended Abstract: Introduction The rising rate of divorce has become a growing social and mental health concern, underscoring the need to identify the psychological factors that contribute to the distress experienced by couples on the verge of marital
Sajad Sedaghati Rad +2 more
doaj +1 more source
The satisfaction of the basic psychological needs for autonomy, competence, and relatedness, as defined in Self‐Determination Theory, has been identified as an important predictor of individuals' optimal functioning in various life domains. The study of work‐related need satisfaction seems, however, hampered by the lack of a validated measure.
Van den Broeck, Anja +4 more
openaire +1 more source
This research comprises two studies based on Self Determination Theory. In Study 1, we translate and examine the factor structure of the Basic Psychological Needs Satisfaction and Frustration Scale (BPNSFS; Chen, Vansteenkiste et al., 2015) in a sample of Portuguese undergraduate students.
Cordeiro, Pedro +4 more
openaire +6 more sources
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
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

