Results 121 to 130 of about 77,328 (260)

Machine learning-driven advancements in next-generation cognitive radar systems

Discover Applied Sciences
Cognitive radar systems are an important tool in defense systems and autonomous vehicles because they are able to adapt to changing conditions and constantly enhance performance.
Venkataramana Guntreddi, Dileep Kumar Murala, V. A. Sankar Ponnapalli, M. Krishna Chaitanya, Bhavana Majji, Vasupalli Manoj   +5 more
doaj   +1 more source

Midwifery Communication for Childbirth: A Practical Approach

Journal of Midwifery &Women's Health, EarlyView.
Abstract During labor and birth, inadvertent negative suggestions from care givers and support people are common and may lead to negative experiences known as nocebo effects. Counteracting nocebo effects with the use of effective communication techniques can reduce distress, enhance birth experiences, and improve health outcomes.
Julie‐Anne Fleet, Laura Whitburn, Elizabeth Newnham, Allan Cyna   +3 more
wiley   +1 more source

Nonlinear Waveform Sensing for Cognitive Radar Based on Reinforcement Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Cognitive radar automatically adjusts its waveform via ceaseless interaction with the environment and learning from the experience. Compared with the linear frequency modulation (LFM) that has been commonly adopted in cognitive radars, the nonlinear FM ...
Peikun Zhu, Xu Si, Jiachen Han, Jing Liang   +3 more
doaj   +1 more source

Politicized Framing of the Future: Encouraging Innovation in Mature Ecosystems in the Face of Asymmetric De Alio Entrants

Journal of Management Studies, EarlyView.
Abstract Hubs and participants of mature ecosystems increasingly compete with de alio entrants that are hubs of more innovative ecosystems. Prior research shows how these asymmetric de alio entrants frame to win over participants from mature ecosystems and suggests that hubs of these ecosystems should respond by encouraging innovation among ...
Georg Reischauer, Alexander Engelmann, Werner H. Hoffmann   +2 more
wiley   +1 more source

How Change Recipients Become Rivals: Legitimacy Dynamics and ‘Cooptive Rejection’ in Organizational Change

Journal of Management Studies, EarlyView.
Abstract Our study challenges a commonly held assumption in the legitimacy and organizational change literatures: that the legitimacy of a change project is closely tied to, and dependent upon, the legitimacy of the change agent promoting it. Drawing on an in‐depth, three‐and‐a‐half‐year qualitative study of a major transformation within a French ...
Alaric Bourgoin, Alexis Laszczuk, Ann Langley   +2 more
wiley   +1 more source

A perspective on automated rapid eye movement sleep assessment

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley   +1 more source

Joint waveform design and resource allocation strategy for cognitive radar target situation awareness

IET Radar, Sonar & Navigation
Traditional radar systems use fixed patterns and constant electromagnetic wave transmission to illuminate targets, but they often do not effectively use prior information about targets and consume significant radar resources.
Yuxiao Song, Biao Tian, Rongqing Wang, Shiyou Xu, Zengping Chen   +4 more
doaj   +1 more source

iSPHYNCS: Unsupervised Clustering in Questionnaires and Metadata Reveals Distinct Subtypes in the Narcolepsy Borderland

Journal of Sleep Research, EarlyView.
Study overview and clustering results in the iSPHYNCS cohort. Participant demographics are summarized in a baseline table. Questionnaire data and metadata were processed through an unsupervised clustering pipeline. A Sankey plot illustrates individual assignment across clusters by diagnostic group.
Rafael Morand, Livia Fregolente, Julia van der Meer, Elena S. Wenz, Annina Helmy, Lorenzo Brigato, Jan D. Warncke, Kseniia Zub, Ramin Khatami, Zhongxing Zhang, Sigrid von Manitius, Silvia Miano, Jens Acker, Mathias Strub, Ulf Kallweit, Gert Jan Lammers, Athina Tzovara, Claudio L. A. Bassetti, Stavroula Mougiakakou, Markus H. Schmidt   +19 more
wiley   +1 more source

Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas. [PDF]

Sensors (Basel), 2018
Yao Y, Zhao J, Wu L.
europepmc   +1 more source

Cognitive Behavioral Interventions for Children and Adolescents With Overweight or Obesity: A Systematic Review and Component Network Meta‐Analysis

Obesity Reviews, EarlyView.
ABSTRACT Background The efficacy of individual cognitive behavioral therapy (CBT) components for managing pediatric obesity remains unclear. This study systematically evaluated the impacts of CBT and its constituent techniques in this population. Method We searched PubMed, Embase, and Cochrane CENTRAL from inception to July 17, 2024, for randomized ...
Xinran Xie, Yunhe Mao, Minghui Sun, Xinyu Zou, Yan Yang, Yiyuan Gao, Wei Xu, Lan Zhang, Leticia Kawano‐Dourado, Arnav Agarwal, Jiafeng Li, Xia Hong, Yufang Bi, Ying Liu, Jing An, Jiahui Ma, Yuzi Cao, Kailei Nong, Jiyun Guo, Jing Zeng, Mengnan Zhao, Yibin Zhang, Qinbo Yang, Baihai Su, Changzheng Yuan, Changjian Qiu, Gordon Guyatt, Sheyu Li   +27 more
wiley   +1 more source