electrical potential
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2022 ◽  
Author(s):  
Santiago M Bedoya ◽  
Marcelo Marucho

An accurate characterization of the polyelectrolyte properties of actin filaments might provide a deeper understanding of the fundamental mechanisms governing the intracellular ionic wave packet propagation in neurons. Infinitely long cylindrical models for actin filaments and approximate electrochemical theories for the electrolyte solutions were recently used to characterize these properties in in-vitro and intracellular conditions. This article uses a molecular structure model for actin filaments to investigate the impact of roughness and finite size on the mean electrical potential, ionic density distributions, currents, and conductivities. We solved the electrochemical theories numerically without further approximations. Our findings bring new insights into the electrochemical interactions between a filament′s irregular surface charge density and the surrounding medium. The irregular shape of the filament structure model generated pockets, or hot spots, where the current density reached higher or lower magnitudes than those in neighboring areas throughout the filament surface. It also revealed the formation of a well-defined asymmetric electrical double layer with a thickness larger than that commonly used for symmetric models.


2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Andrew Adamatzky ◽  
Antoni Gandia

AbstractElectrical activity of fungus Pleurotus ostreatus is characterised by slow (h) irregular waves of baseline potential drift and fast (min) action potential likes spikes of the electrical potential. An exposure of the myceliated substrate to a chloroform vapour lead to several fold decrease of the baseline potential waves and increase of their duration. The chloroform vapour also causes either complete cessation of spiking activity or substantial reduction of the spiking frequency. Removal of the chloroform vapour from the growth containers leads to a gradual restoration of the mycelium electrical activity.


Materials ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 6
Author(s):  
Elina Bondareva ◽  
Yuri Dekhtyar ◽  
Vladislavs Gorosko ◽  
Hermanis Sorokins ◽  
Alexander Rapoport

The ability of cells to adhere to substrates is an important factor for the effectiveness of biotechnologies and bioimplants. This research demonstrates that the statistical distribution of the sizes of the cells (Saccharomyces cerevisiae) attached to the substrate surface correlates with the statistical distribution of electrical potential on the substrate’s surface. Hypothetically, this behavior should be taken into consideration during the processing of surfaces when cell adhesion based on cell size is required.


Author(s):  
M.H. Haroun

This paper investigates the electric properties of gold nanoparticles mixed with a convection dielectric couple stress fluid inside a vertical cylindrical tube with moving endoscope in the presence of Hall currents and thermal radiation. Under the long wavelength approximation and the use of appropriate conversion relationships between fixed and moving frame coordinates, the exact solutions have been evaluated for temperature distribution, gold nanoparticles concentration, electrical potential function and nanofluid pressure, while analytical solution is found for the axial velocity using the homotopy analysis method. The results show that the presence of the electric field enhances the effects of Brownian motion parameter, thermophoresis parameter, radiation parameter, Hall currents and wave amplitude ratio on the axial nanofluid velocity, while it was found that its presence reduces the effects of couple stress parameter, thermophoresis diffusion constant and Brownian diffusion constant.


2021 ◽  
Author(s):  
Krishna Bera ◽  
Chintam Hanmandlu ◽  
Hung-I Lin ◽  
Rapti Ghosh ◽  
Vijay Kumar Gudelli ◽  
...  

Abstract Recently emerged metal-halide hybrid perovskite (MHP) possesses superb optoelectronic features, which have great attention in solid-state lighting, photodetection, and photovoltaic applications. Because of its excellent external quantum efficiency, MHP acquires enormous potential for manifestation of ultra-low threshold optically pumped laser. However, demonstration of electrical-driven laser remains a challenge because of vulnerable degradation of perovskite, limited exciton binding energy, and intensity quenching and efficiency drop by non-radiative recombinations. In this work, we observed an ultralow-threshold (~ 18 nJcm−2) optically pumped Fabry-Perot (F-P) laser from moisture insensitive mixed dimensional quasi-2D Rudlesden-Popper phase perovskite (RPP) microplates. Unprecedently, we demonstrated electrical-driven F-P laser with threshold ~ 0.15 Acm−2 from quasi-2D RPP by judicious combination of perovskite/hole transport layer (HTL) and electron transport layer (ETL) having suitable band alignment and thickness. Additionally, we showed tunibility of lasing modes by driving external electrical potential. Ultralow-threshold lasing is mainly ascribed by existence of F-P feedback resonance inside RPP microplate, and selective resonance energy transfer mechanism in-between microplates. Performing the finite difference time domain (FDTD) simulations, we confirmed the presence of F-P feedback resonance, and light trapping effect at perovskite/ETL contributing to laser action. Our discovery of electrical-driven laser from MHP opens an alternative avenue in developing optoelectronics.


2021 ◽  
Author(s):  
◽  
Duong Nguyen

<p>Throughout millennia, the human mind has been attributed to the advancements of human society today. Architecture, likewise, a result of human wit and intelligence. This research takes a particular interest in the architecture that is, pre-conceived before its existence. From the inception of this research, it began with a particular interest in this design process, or creative. The objective, to develop a means for people to design using their mental imagination. The objective, while novel and realistic, demonstrate itself to be highly challenging in its enormous complexity. The investigation focuses now settles towards the development of an “integrated foundational” brain-computer interface (BCI) to design architecture through meaningful and intentional design interactions through human brain activities in real-time inside an immersive virtual environment.  The research methodology deploys the conglomeration of the following of hardware:  • 14-Channel EPOC+ electroencephalograph (EEG) headset (a brain electrical activity detector) • High-end computer with VR capable graphics card • HTC Vive Virtual Reality (VR) Headset  In terms of software, CortexUI, a cloud-based platform to stream live EEG data, Grasshopper (GH), a commonly used architectural visual scripting plugin software, followed by Unity, a commonly used tool to develop interactive VR/3D environment. The user shall be wearing both EEG and the HMD to interactive with the presented material.  The EEG is used to detect brain activities through its electrodes measuring variation in of electrical potential caused by passing signals sent within the brain’s neurons. These raw data are transferred into Grasshopper in numerical forms, where these data are inputs to manipulate a series of pre-defined forms and interactions in Grasshopper, a plugin in Rhino software. The translation process involved data manipulation for desired design interaction, which altered the abstracted formal qualities of locations, scales, rotations, geometries and colours, with a minor implementation of certain artificial neural networks (ANN) within a design environment context. Virtual Reality consequently performs as a visualisation tool and immersing the user within that design interaction as well as become a design feedback tool. The user is stimulated to generate various design variations and able to capture that result in Rhino through baking the design in Grasshopper. The exported geometries act as an abstracted visualisation of the BCI system’s user’s mental state at that point in time.  The research outcome exceeded the aims & objectives from its “foundational” status in its ability to harbour multiple design interactive scenarios. However, there are considerable technical limitations and room for future research within this experiment, all of which shall be mentioned within the discussion section of this inquiry. A technical understanding and overall framework have been developed as a result of this study, tending towards creating a BCI-VR system to design architecture directly from the human imagination from the mind’s eye.</p>


2021 ◽  
Author(s):  
◽  
Duong Nguyen

<p>Throughout millennia, the human mind has been attributed to the advancements of human society today. Architecture, likewise, a result of human wit and intelligence. This research takes a particular interest in the architecture that is, pre-conceived before its existence. From the inception of this research, it began with a particular interest in this design process, or creative. The objective, to develop a means for people to design using their mental imagination. The objective, while novel and realistic, demonstrate itself to be highly challenging in its enormous complexity. The investigation focuses now settles towards the development of an “integrated foundational” brain-computer interface (BCI) to design architecture through meaningful and intentional design interactions through human brain activities in real-time inside an immersive virtual environment.  The research methodology deploys the conglomeration of the following of hardware:  • 14-Channel EPOC+ electroencephalograph (EEG) headset (a brain electrical activity detector) • High-end computer with VR capable graphics card • HTC Vive Virtual Reality (VR) Headset  In terms of software, CortexUI, a cloud-based platform to stream live EEG data, Grasshopper (GH), a commonly used architectural visual scripting plugin software, followed by Unity, a commonly used tool to develop interactive VR/3D environment. The user shall be wearing both EEG and the HMD to interactive with the presented material.  The EEG is used to detect brain activities through its electrodes measuring variation in of electrical potential caused by passing signals sent within the brain’s neurons. These raw data are transferred into Grasshopper in numerical forms, where these data are inputs to manipulate a series of pre-defined forms and interactions in Grasshopper, a plugin in Rhino software. The translation process involved data manipulation for desired design interaction, which altered the abstracted formal qualities of locations, scales, rotations, geometries and colours, with a minor implementation of certain artificial neural networks (ANN) within a design environment context. Virtual Reality consequently performs as a visualisation tool and immersing the user within that design interaction as well as become a design feedback tool. The user is stimulated to generate various design variations and able to capture that result in Rhino through baking the design in Grasshopper. The exported geometries act as an abstracted visualisation of the BCI system’s user’s mental state at that point in time.  The research outcome exceeded the aims & objectives from its “foundational” status in its ability to harbour multiple design interactive scenarios. However, there are considerable technical limitations and room for future research within this experiment, all of which shall be mentioned within the discussion section of this inquiry. A technical understanding and overall framework have been developed as a result of this study, tending towards creating a BCI-VR system to design architecture directly from the human imagination from the mind’s eye.</p>


2021 ◽  
Vol 2 (2) ◽  
pp. 56
Author(s):  
Tri Anggono Prijo ◽  
Norienna Valendiani Risti ◽  
Welina Ratnayanti Kawitana

The aim of this research is to identify the electrical potential profile on the acupoint betwen healthy people and the patient of asthma. The raw data has taken by recording the electrical potential profile on the acupoints: Feishu, Pishu, and Shenshu from 10 healthy women and the 10 women with asthma attain the age of 20-30 years old based on the second data observation at the Local Government Clinic Kalijudan, Surabaya. Potential profile of the organs were the electrical signals form. It was achieved by the result of electrical potential which was based time recording. Recording time was done for 180 second. The results couldn't be differentiated significantly, so it needs the other signals processing with FFT analyze method with cutting as the data frames. It was done every 5 second. Based on the result of analyzing the amplitude of each frequency group, the significant differences are on the acupoint Shenshu : 0-5 Hz with p= 0.001, on the acupoint Phishu 148-152 Hz with p= 0.010, on the acupoint Feishu for frequency 198-203 Hz with p= 0.004 and on the acuponit Phishu p=0.011, for frequency 348-352 Hz on the acupoint Feishu and Shenshu have both value is p= 0,004 and 398-402 Hz with p=0,009 on the acupoint Phishu. According to the preference, it was found that the electrical potential profile on the acupoints of the healthy people has lower amplitude than the people with asthma. Then, the analyze of electrical potential profile on the acupoints can be used for asthma diagnose. 


Materials ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7370
Author(s):  
Asan G. A. Muthalif ◽  
Abdelrahman Ali ◽  
Jamil Renno ◽  
Azni N. Wahid ◽  
Khairul A. M. Nor ◽  
...  

Mechanical energy is the most ubiquitous form of energy that can be harvested and converted into useful electrical power. For this reason, the piezoelectric energy harvesters (PEHs), with their inherent electromechanical coupling and high-power density, have been widely incorporated in many applications to generate power from ambient mechanical vibrations. However, one of the main challenges to the wider adoption of PEHs is how to optimize their design for maximum energy harvesting. In this paper, an investigation was conducted on the energy harvesting from seven piezoelectric patch shapes (differing in the number of edges) when attached to a non-deterministic laminated composite (single/double lamina) plate subjected to change in fiber orientation. The performance of the PEHs was examined through a coupled-field finite element (FE) model. The plate was simply supported, and its dynamics were randomized by attaching randomly distributed point masses on the plate surface in addition to applying randomly located time-harmonic point forces. The randomization of point masses and point force location on a thin plate produce non-deterministic response. The design optimization was performed by employing the ensemble-responses of the electrical potential developed across the electrodes of the piezoelectric patches. The results present the optimal fiber orientation and patch shape for maximum energy harvesting in the case of single and double lamina composite plates. The results show that the performance is optimal at 0° or 90° fiber orientation for single-lamina, and at 0°/0° and 0°/90° fiber orientations for double-lamina composites. For frequencies below 25 Hz, patches with a low number of edges exhibited a higher harvesting performance (triangular for single-lamina/quadrilateral for double-lamina). As for the broadband frequencies (above 25 Hz), the performance was optimal for the patches with a higher number of edges (dodecagonal for single-lamina/octagonal for double-lamina).


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