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Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

Advanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith, Sunny Amatya, Seyed Yousef Soltanian, Jonathan Bush, Wenlong Zhang   +4 more
wiley   +1 more source

Building adolescents' resilience: teachers' support, perceived cooperative and competitive climates, and mindset. [PDF]

Front Psychol
Wang H, Peng A, Patterson MM.
europepmc   +1 more source

Cooperation or Conflict? Molecular and Physiological Cross-Talk Between the Aryl Hydrocarbon and Vitamin D Receptors. [PDF]

Pharmaceuticals (Basel)
Alqahtani MA.
europepmc   +1 more source

Nonlinearities and Switch-Like Behavior in Gene Expression: From Genetics to Biochemistry and Back. [PDF]

FASEB J
Veitia RA, Birchler JA.
europepmc   +1 more source

As group size increases, individuals modify their vocal features to signal cooperation while remaining recognizable. [PDF]

Front Psychol
Pellegrino E, Dellwo V.
europepmc   +1 more source

The Proposed United States Office of Management and Budget Rule for Managing Biomedical Research Grants and Cooperative Agreements Needs to Change. [PDF]

Am J Trop Med Hyg
Rosenthal PJ, Nishi JB, Ko AI, Fidock DA, Taylor TE.   +4 more
europepmc   +1 more source

Context matters in PROTAC design: navigating the trade-off between degradation and developability. [PDF]

J Enzyme Inhib Med Chem
Zhang B, Zhang Y, Zhang B, Hu J, Ke C, Wu T, Wei M, Xia J, Wang M, Zhao Q, Tian L, Liang C.   +11 more
europepmc   +1 more source

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Estimation of Convolutional Interleaver in a Non-cooperative Context

2020 22nd International Conference on Advanced Communication Technology (ICACT), 2020
In this paper, we propose the method for blind estimation of convolutional interleaver parameters in a noncooperative context by analysing repetitive patterns in interleaved sequences. Simulation results verify that proposed method could effectively estimate convolutional interleaver parameters in a noisy environment.
Yoonji Kim, Geunbae Kim, Dongweon Yoon
openaire   +1 more source