Results 71 to 80 of about 27,936 (261)
Photodoping in Wide‐Bandgap Perovskite Solar Cells With MXenes
Advanced Optical Materials, EarlyView.Ultrafast tandem spectroscopy and DFT modeling reveal the separate dynamics and the imbalance of electrons and holes in wide bandgap perovskite solar cells with MXene incorporation. The enhanced photoconversion performances of the devices are traced to photodoping, with selective hole trapping and suppressed recombination of electrons.
Angelica Simbula +17 more
wiley +1 more source
Advanced Robotics Research, EarlyView.A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Numerical Modeling of Photothermal Self‐Excited Composite Oscillators
Advanced Robotics Research, EarlyView.We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu +6 more
wiley +1 more source
Гуманитарные и юридические исследования, 2021 The article analyzes the dynamics of trade relations between Yugoslavia and the USSR starting the emergence of the Soviet-Yugoslav conflict of 1948 and up to normalization of relations between the countries that resulted in signing trade agreements in ...
Kseniia Bobrysheva
doaj
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
ROLE OF JOINT VENTURE “SOVHISPAN” IN NORMALIZATION OF THE SOVIET-SPANISH BILATERAL RELATIONS
RUDN Journal of Russian History, 2016 The object of this research is to support the statement about the prevalence of the economic interest over the political ones, taking as an example the reestablishment of the Soviet-Spanish bilateral relations.
M N Moseykina, I Yanyshev Nesterova
doaj
A Normality Criterion Corresponding to the Defect Relations [PDF]
Computational Methods and Function Theory, 2017 Let ${\cal F}$ be a family of meromorphic functions on a domain $D$. We present a quite general sufficient condition for ${\cal F}$ to be a normal family. This criterion contains many known results as special cases. The overall idea is that certain comparatively weak conditions on ${\cal F}$ locally lead to somewhat stronger conditions, which in turn ...
openaire +3 more sources
Advanced Robotics Research, EarlyView.Rotating magnetic fields (RMFs) are widely used for microrobot propulsion and control. We show that RMF generation with permanent magnets is mechanically feasible for many limb and intracranial applications but becomes constrained for thoracic targets.
Tuan‐Anh Le +4 more
wiley +1 more source
Understanding the Paths to Appearance- and Performance-Enhancing Drug Use in Bodybuilding
Frontiers in Psychology, 2018 How do gym-goers who are normally not inclined to resort to appearance- and performance-enhancing drugs (APEDs) progressively normalize their use? Based on data collected through a year and a half of participant observation in a gym and 30 semi-directive
Ronan Coquet, Peggy Roussel, Fabien Ohl
doaj +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 +7 more
wiley +1 more source