Results 91 to 100 of about 33,412 (264)

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics

Advanced Robotics Research, EarlyView.
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won, Jaehyun Jang, Hyeonseo Kim, Inyoung Choi, Steve Park, Seongjun Park   +5 more
wiley   +1 more source

Explanation of model design and talent management system in universities

Armaghane Danesh Bimonthly Journal, 2017
Background and aim: Nowadays talented human resources are considerd as the most important and valuable organizational asset. Proper management of these major asset, the the most essential task manager and the progress of any organization in this field is
AH Nazaripour, SNJ Mosavi, M Hakak, A Pirzad   +3 more
doaj  

Real‐Time Holographic Feedback via Mixed Reality Sensorized Laryngoscope Training System Enhances Pediatric Intubation Training

Advanced Robotics Research, EarlyView.
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li, Ryman Hashem, Ningzhe Hou, Perla Maiolino, Louis Halamek, Liang He   +5 more
wiley   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source

Talent management strategy as applied by domestic organizations

Вестник Северо-Кавказского федерального университета
Introduction. In modern conditions of labor market transformation, the emergence and development of new forms of employment, the issues of formation and development of human resources are gaining a new debatable turn.
O. R. Zhavoronkova, A. E. Kurzyankov
doaj   +1 more source

Cross Kingdom Metabolic Engineering Paradigm Elevating Sustainable Protein Production

Advanced Science, EarlyView.
ABSTRACT Confronting the dual crisis of escalating global protein demand and unsustainable agriculture necessitates transformative solutions. Here, we pioneer evolutionary insights from maize nitrogen optimization via asparagine synthetase (ASNS) to rewire metabolism in Pichia pastoris.
Yuanyuan Du, Changyu Pi, Kai Hong, Le Gao, Xin Wu   +4 more
wiley   +1 more source

Research on management mode of talent team in E-government based on big data analysis

Systems and Soft Computing
With the rapid development of big data technology, higher requirements have been put forward for the management mode of talent teams in e-government management.
Shixuan Hao
doaj   +1 more source

Disruptive Talent Management : A case study of a talent management system in times of disruptive technology advancements

, 2018
The relatively new concept of talent management has been recognized to have a strategic role in disruptive business environments by both researchers and practitioners. A resourced-based view proposes that organizations should focus on internal resources and foster their own unique resources, for instance human resources.
Zhu, Hong, Honkanen, Daniel
openaire   +1 more source