Latest Publications on Human Enhancement
This is our latest selection of worldwide publications on Human Enhancement, between many scientific online journals, classified and focused on Human Enhancement, transhumanism, neuroenhancement, cognitive augmentation, wearable technology, genetic engineering, bionic prosthetic, implantable devices and exoskeleton.
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Self-Driven Miniature Sensing Technology Based on Cellulose-Based Triboelectric Nanogenerators in a Wearable Human Health Status Monitoring System
On 2025-01-30 by Xiao, He, Wang @MDPI
Keywords: wearable technology, cellulose-based TENG, self-powered micro-sensing, health monitoring, human-machine interaction
AI summary: Application of cellulose-based TENG in wearable health monitoring systems, detailed analysis of physiological parameter monitoring, integration of TENG sensors in health monitoring devices, challenges and future research directions.
Abstract: The progression of wearable technology has revealed that cellulose-based triboelectric nanogenerators (TENG) possess considerable promise in self-powered micro-sensing technology; this is attributed to their superior biocompatibility, sustainability, and mechanical characteristics. This paper aims to explore the application of the cellulose-based TENG self-powered micro-sensing technology in wearable systems for human health monitoring. First, the working principles and modes of TENG are summari[...]
Molecular and Physiological Responses of Plants that Enhance Cold Tolerance
On 2025-01-29 by Lixia Zhou, Fazal Ullah, Jixin Zou, Xianhai Zeng @MDPI
Keywords: cold tolerance, molecular responses, physiological responses, genetic engineering, freezing injuries
AI summary: Plants respond to cold stress by enhancing freezing tolerance through regulating photosynthesis, metabolism, and protein pathways. Cold-resistant plants exhibit higher lipid unsaturation and utilize antioxidant defenses to mitigate oxidative damage. Hormonal regulation and osmotic balance also play crucial roles in cold adaptation. Genetic engineering technologies aim to improve plant cold resistance and develop new cold-tolerant varieties.
Abstract: Low-temperature stress, including chilling and freezing injuries, significantly impacts plant growth in tropical and temperate regions. Plants respond to cold stress by activating mechanisms that enhance freezing tolerance, such as regulating photosynthesis, metabolism, and protein pathways and producing osmotic regulators and antioxidants. Membrane stability is crucial, with cold-resistant plants exhibiting higher lipid unsaturation to maintain fluidity and normal metabolism. Low temperatures d[...]
Investigation of the Influence of Hypercapnia on the Physiology of Ovigerous West Coast Rock Lobsters, Jasus lalandii, and Their Embryonic Development
On 2025-01-27 by Annika Ritter, Christopher R. Bridges, Lutz Auerswald @MDPI
Keywords: hypercapnia, physiology, ovigerous, embryonic development, West Coast rock lobsters
AI summary: Investigation of the influence of hypercapnia on physiology and embryonic development of ovigerous West Coast rock lobsters reveals their resilience to changing pH levels. Female lobsters respond swiftly to acute hypercapnia by increasing bicarbonate concentrations, while embryos show no impact from chronic hypercapnia.
Abstract: The West Coast rock lobster, Jasus lalandii, is a key ecological species and provides an important fishery resource in South Africa and Namibia. It is found along the west coast of southern Africa in the dynamic Benguela Current upwelling system. The low seawater pH of this system is expected to decline further due to ocean acidification and increase in upwelling in terms of frequency and severity. The lobster has therefore to respond to frequent and rapid changes in pH and other environmental i[...]
Adaptive Impedance Control of a Human–Robotic System Based on Motion Intention Estimation and Output Constraints
On 2025-01-26 by Junjie Ma, Hongjun Chen, Xinglan Liu, Yong Yang, Deqing Huang @MDPI
Keywords: adaptive impedance control, human-robotic system, motion intention estimation, output constraints, rehabilitation exoskeleton
AI summary: Adaptive impedance control strategy proposed for a rehabilitation exoskeleton. Motion intention estimated online by neural network. Least square method used to learn impedance parameters. Adaptive neural network impedance controller with output constraints designed for safety.
Abstract: The rehabilitation exoskeleton represents a typical human&ndash;robot system featuring complex nonlinear dynamics. This paper is devoted to proposing an adaptive impedance control strategy for a rehabilitation exoskelton. The patient&rsquo;s motion intention is estimated online by the neural network (NN) to cope with the intervention of the patient&rsquo;s subjective motor awareness in the late stage of rehabilitation training. Due to the differences in impedance paramete[...]
A Comprehensive Review
On 2025-01-24 by Wid Alrashidi, Safiah Alhazmi, Fotoon Sayegh, Sherif Edris @MDPI
Keywords: microalgal culture, sustainable energy production, microbial fuel cells, biophotovoltaics, genetic engineering
AI summary: Feasibility of microalgal culture for sustainable energy production through MFCs and BPVs. Thorough review of recent developments in strain selection, bioreactor design, and electrode materials. Exploration of advanced methodologies like genetic engineering and nanotechnology. Discussion on future research avenues and practical applications of microalga biobatteries.
Abstract: This review evaluates the feasibility of using microalgal culture for sustainable energy production, emphasizing microbial fuel cells (MFCs) and biophotovoltaics (BPVs). This study&rsquo;s uniqueness is rooted in its thorough examination of recent developments (2014&ndash;present) in microalgal strain selection, bioreactor design, and electrode materials. Furthermore, this review combines microalga cultivation with wastewater treatment, highlighting its importance. Notably, it ex[...]
An Active Control Method for a Lower Limb Rehabilitation Robot with Human Motion Intention Recognition
On 2025-01-24 by Zhuangqun Song, Peng Zhao, Xueji Wu, Rong Yang, Xueshan Gao @MDPI
Keywords: active control, lower limb rehabilitation robot, human motion intention recognition, machine learning, muscle-machine interface
AI summary: Method for active control of a lower limb rehabilitation robot based on human motion intention recognition. Vision-driven control strategy proposed for body weight support. BiLSTM network decodes sEMG signals for real-time estimation of motion intentions. DRBFNNASMC controller enables precise tracking of motion trajectories.
Abstract: This study presents a method for the active control of a follow-up lower extremity exoskeleton rehabilitation robot (LEERR) based on human motion intention recognition. Initially, to effectively support body weight and compensate for the vertical movement of the human center of mass, a vision-driven follow-and-track control strategy is proposed. Subsequently, an algorithm for recognizing human motion intentions based on machine learning is proposed for human-robot collaboration tasks. A muscle&a[...]
