Results 21 to 30 of about 6,651 (260)
The Magical Cosmovision of the Native Peoples of America
Ибероамериканские тетрадиThe first inhabitants of America must have come from Siberia, from the extreme north of Asia, and entered the American continent during the last glaciation, which began 110,000 years ago and ended around 10,000 BP.
E. Aguilar Montalvo
doaj +3 more sources
Differences in Some Motor Abilities of Girls Engaged and those that are not Engaged with Aesthetic Activities [PDF]
Sport Mont, 2017 Study aim was to analyze the difference in motor abilities for assessing coordination in rhythm and frequency of movement, between those girls whose only physical activity is clasess of physical and health education at school and those which are for two ...
Ivana Cosic Mulahasanovic +3 more
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PERSIAN DANCE: TRADITIONS AND MODERNITY
Концепт: философия, религия, культура, 2019 This article attempts to explore Persian dances in order to determinate its national identity. The authors refer to the semantic core of the lexemes that express this phenomenon, give a brief outline of the genesis and evolution of this traditional ...
A. V. Berezina, M. G. Delinad
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FEBS Open Bio, EarlyView.This paper reveals how human lactoferrin–albumin fusion (hLF‐HSA) potently suppresses lung adenocarcinoma cell migration. hLF‐HSA upregulates NHE7, leading to Golgi alkalization, disruption of the Golgi secretome, downregulation of MMP1, and reversal of EMT. These findings suggest a novel Golgi‐targeting strategy to suppress cancer cell migration.
Hana Nopia +3 more
wiley +1 more source
Features of planning of training process in a competition period for sportsmen 13-15 years, engaged in sporting dances of ballrooms [PDF]
Pedagogìka, Psihologìâ ta Mediko-bìologìčnì Problemi Fìzičnogo Vihovannâ ì Sportu, 2010 The features of planning of training process are examined in a competition period for young sportsmen 13-15 years. The features of planning of training process are rotined in the competition period of preparation of sportsmen.
Bachinskaya N.V., Fedoryaka A.V.
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An Edible Chitosan‐Based Acoustic Sensor for Sound‐Responsive Actuation in Edible Robots
Advanced Functional Materials, EarlyView.This study introduces an edible acoustic sensor for robotic food and edible robotics. Built from a chitosan piezoelectric film between gold electrodes, the sensor enables acoustic communication through ON/OFF keying. Integrated into an edible robot with pneumatically actuated arms and neck, it responds to high‐frequency tones.
Valerio Francesco Annese +8 more
wiley +1 more source
Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction, 2014 Robots have a long history as a tangible platform through which designers and artists can explore human and social experiences. From Pierre Jaquet-Doz's Automatons from the Eighteenth Century, to Dunne & Raby's technological dreams of non-anthropomorphic robots that assist our lives [1], robots have been a rich form of technology that artists and ...
Chris Speed +3 more
openaire +1 more source
Emergent Spinning and Orbital Motion in Clustered Wind‐Assisted Flyers
Advanced Science, EarlyView.Inspired by natural snowflake geometries, paper‐cut flyers exhibit geometry‐defined spinning and orbital motions during cluster formation in a wind tunnel. Collective flights of multiple paperflakes reveal dynamic clustering, fragmentation, and continuously evolving spin behaviors.
Bingnan Zhou +7 more
wiley +1 more source
Leading the Pack: Next‐Generation Batteries for Humanoid Robotics
Advanced Science, EarlyView.Humanoid robots challenge traditional and anticipated energy technologies. Humanoid robot benchmarks of runtimes and energy demands for industry applications inform humanoid robot battery design choices at the cell level, pack level, and system level.
Matthew Bergschneider +6 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source