Results 41 to 50 of about 51,088 (267)

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Relational Marketing – the Prerequisite to Implement Tourist Companies’ Marketing Strategies [PDF]

Theoretical and Applied Economics, 2009
By means of enterprisers’ complex efforts to be oriented towards and take permanent steps to customers’ benefits, relational marketing actually and essentially argues rendering customers loyal by the persuasive qualities of the products supplied, the ...
Maria Carmen Iordache, Denisa Parpandel
doaj   +1 more source

Relational Teaching Behaviours in the Large University Class: An Observational Study

Canadian Journal for the Scholarship of Teaching and Learning
Larger class sizes in higher education can generate many challenges for educators, notably increased negative student evaluations of teaching. This study suggests that one strategy for countering some of the shortcomings of the large classroom is to ...
Simon G. Beaudry, Jenepher Lennox Terrion, Meredith Rocchi, Michelle Bartleman   +3 more
doaj   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

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, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Development of relational memory processes in monkeys

Developmental Cognitive Neuroscience, 2016
The present study tested whether relational memory processes, as measured by the transverse patterning problem, are late-developing in nonhuman primates as they are in humans.
Maria C. Alvarado, Ludise Malkova, Jocelyne Bachevalier   +2 more
doaj   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

Confirmatory Factor Analysis, Reliability, and Validity of Relational Maintenance Strategy Measure among Couples in Tehran

Salāmat-i ijtimā̒ī, 2018
Background and Objective: Relationship maintenance Strategy has been described as the behavioral dynamics that assist in preserving a relationship. The aim of this study was to examine confirmatory factor analysis, reliability, and validity of relational
Mehdi Ghezelseflo, Nasim Aghamiri, Nasrin Aghamiri, Somayeh Hemati-Pouya   +3 more
doaj  

When Relational-Based Applications Go to NoSQL Databases: A Survey

Information, 2019
Several data-centric applications today produce and manipulate a large volume of data, the so-called Big Data. Traditional databases, in particular, relational databases, are not suitable for Big Data management.
Geomar A. Schreiner, Denio Duarte, Ronaldo dos Santos Mello   +2 more
doaj   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source