Results 41 to 50 of about 1,297,154 (287)

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

Entrepreneurial Leadership and Collaborative Resilience: How Positive Relational Dynamics Shape Entrepreneurial Cognition in Emerging Economies

Administrative Sciences
Despite growing scholarly interest in leadership within entrepreneurial settings, little is known about how relational leadership operates in informal, resource-constrained ecosystems.
Gelmar García-Vidal, Laritza Guzmán-Vilar, Rodobaldo Martínez-Vivar, Alexander Sánchez-Rodríguez, Reyner Pérez-Campdesuñer   +4 more
doaj   +1 more source

Relational leadership and the missional church

Verbum et Ecclesia, 2013
The global realities regarding cultural shifts and the transition between traditional, modern and postmodern world perspectives have particular implications for leadership in general.
Jacob J. Breedt, Cornelius J.P. Niemandt
doaj   +1 more source

Imagination as a Catalyst for Relational Leadership: Educational Leaders\u27 Perspectives [PDF]

This research examines the role of imagination in relational leadership. Specifically, through a case study of a unique offering of an imagination-focused MEd program in Educational Leadership in a large, public research institution in British Columbia ...
Judson, Gillian, Dougherty, Meaghan
core   +1 more source

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

Dr Hannah Graham on Australian leadership: Integrity, relational leadership and tenacious courage of conviction [PDF]

, 2018
Hannah Graham talks to Victor Perton about Australian Leadership. Criminologist, author and university lecturer Dr Hannah Graham was born in Tasmania and studied and worked at the University of Tasmania, before moving to Scotland to work in the Scottish ...
Graham, Hannah
core  

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, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

A narrative-based relational leadership: Insights from UK CEOs of project-based organisations

Project Leadership and Society
Although the subject of leadership has received increased attention among project management academics and practitioners, there is still a need to explore the underlying processes associated with leadership in project-based organisations.
Natalya Sergeeva, Johan Ninan
doaj   +1 more source

Quantifying the Dynamics of Network Detachment Across Scientific, Technological, Commercial, and Pharmacological Domains

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, Ching Jin, Chaoming Song, Johannes Bjelland, Brian Uzzi, Dashun Wang   +5 more
wiley   +1 more source

Symptom‐Driven Prediction of Chronic Multimorbidity with a Macro–Micro Heterogeneous Graph Neural Network

Advanced Science, EarlyView.
Clinical symptoms offer a window into multimorbidity. A macro‐micro heterogeneous graph neural network integrates clinical records with biomedical knowledge to improve patient‐level symptom‐disease association learning and visit‐level multimorbidity completion.
Yiheng Ye, Miaoru Han, Siqiao Tang, Zongxiang Zhang, Haichen Shen, Bingzhen Sun, Yan Zhang, Xiaodong Chu, Lijuan Deng, Chaoyang Zheng, Qingchun Huang, Kun Bao, Ronghua Zhang, Yong Wang, Fengwei Zhang, Xiaoli Chu   +15 more
wiley   +1 more source