DESIGN OPTIMIZATION OF A NOVEL NETWORKED ELECTROMAGNETIC SOFT ACTUATORS SYSTEM BASED ON BRANCH AND BOUND ALGORITHM

Design Optimization of a Novel Networked Electromagnetic Soft Actuators System Based on Branch and Bound Algorithm

This paper presents a design optimization framework based on Branch and Bound Algorithm for novel networked electromagnetic soft actuators.The soft actuators work based on the operating principle of solenoids but are made of intrinsically soft materials.We confirmed that by scaling down the size of the soft actuators, their force to volume ratio in

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Behavioral genetics and thumb sucking in adolescents

Thumb sucking is a common habit developed by children and begins as early as in utero.However, it becomes problematic when a child continues to suck their thumb past the age of 4 years, when their secondary dentition is developing and preparing CONDITIONER to erupt.Prolonged thumb sucking into adolescence can have deleterious effects on dental and

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Cryptic diversity in Indo-Pacific coral-reef fishes revealed by DNA-barcoding provides new support to the centre-of-overlap hypothesis.

Diversity in coral reef fishes is not evenly distributed and tends to accumulate in the Indo-Malay-Philippines Archipelago (IMPA).The comprehension of the mechanisms that initiated this pattern is in its infancy despite its importance for the conservation of coral reefs.Considering the IMPA either as an area of overlap or a cradle of marine biodive

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Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin

IntroductionIn complex mountain basins, hydrological forecasting poses a formidable challenge due to the intricacies of runoff generation processes and the limitations of available data.This study explores the enhancement of short-term runoff forecasting models through the utilization of long short-term memory (LSTM) networks.MethodsTo achieve this

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