Fungi anaesthesia

Electrical 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.

SK Current, Expressed During the Development and Regeneration of Chick Hair Cells, Contributes to the Patterning of Spontaneous Action Potentials

Chick hair cells display calcium (Ca2+)-sensitive spontaneous action potentials during development and regeneration. The role of this activity is unclear but thought to be involved in establishing proper synaptic connections and tonotopic maps, both of which are instrumental to normal hearing. Using an electrophysiological approach, this work investigated the functional expression of Ca2+-sensitive potassium [IK(Ca)] currents and their role in spontaneous electrical activity in the developing and regenerating hair cells (HCs) in the chick basilar papilla. The main IK(Ca) in developing and regenerating chick HCs is an SK current, based on its sensitivity to apamin. Analysis of the functional expression of SK current showed that most dramatic changes occurred between E8 and E16. Specifically, there is a developmental downregulation of the SK current after E16. The SK current gating was very sensitive to the availability of intracellular Ca2+ but showed very little sensitivity to T-type voltage-gated Ca2+ channels, which are one of the hallmarks of developing and regenerating hair cells. Additionally, apamin reduced the frequency of spontaneous electrical activity in HCs, suggesting that SK current participates in patterning the spontaneous electrical activity of HCs.

Assessing the electrical activity of individual ZnO nanowires thermally annealed in air

ZnO nanowires (NWs) are very attractive for a widespread of nanotechnological applications owing to their tunable electron concentration via structural and surface defects engineering. A 2D electrical profiling of these...

Deep Convolutional Bidirectional LSTM Model for identifying Ventricular Tachyarrhythmia using ECG Signal Variability

An electrocardiogram (ECG) signal is used widely to detect ventricular tachyarrhythmia (VTA) and to diagnose heart disease. Deep learning models and large ECG data have made the diagnosis of VTA an attractive task to demonstrate the power of artificial intelligence in clinical applications. One of the life-threatening complications of VTA is cardiac arrest (CA). The VTA is divided into two categories: ventricular fibrillation (VF) and ventricular tachycardia (VT). Abnormal electrical activity in the ventricle causes VT, which leads to CA, whereas the chaotic electrical activity in the ventricle leads to VF. To improve the clinical diagnostic system and to help cardiologists, it is essential to identify the risk of VTA at an early stage. The goal of this paper is to develop an end-to-end (E2E) deep learning model that uses a convolution neural network (CNN) and a bidirectional long-short term memory network (BiLSTM) to classify VT and VF arrhythmias from multiple ECG databases. The CNN extracts features from ECG signals, and BiLSTM learns information. The ECG signals are acquired from the MIT-BIH malignant ventricular arrhythmia database (VFDB) and the Creighton University VTA database (CUDB). These ECG signals indicate that heart rate variability is a fast and dynamic event. Before the method's implementation, ECG signals are windowed at a fixed size according to annotation information and then normalized within each window. In terms of accuracy and sensitivity, the proposed CNN-BiLSTM deep learning model outperforms existing state-of-the-art methods. These results made it possible to obtain a relatively higher average accuracy (AC) of 99.37%, precision (PE) of 97.12%, a sensitivity (SE) of 98.15%, and F-score (FS) of 98.43%, and an overall accuracy of 99.07%, respectively.

Electrical activity of expiratory muscles in type 2 diabetes mellitus

Aim. To study the functional state of the expiratory muscles in patients with type 2 diabetes mellitus on the basis of changes in their electrical activity when using a functional test with a static expiratory effort. Materials and methods. 47 patients with type 2 diabetes mellitus and 40 patients without disorders of carbohydrate metabolism were examined. To study the electrical activity of the expiratory muscles, surface electromyography (EMG) of the external oblique abdominal muscle (OAM), rectus abdominis muscle (RAM), and internal intercostal muscles (IIM) was performed using a functional test with a static expiratory effort. Results. When performing a functional test with a static expiratory effort in both groups, a decrease in the frequency and an increase in the amplitude of EMG was observed, however, in patients with type 2 diabetes mellitus, these changes were less pronounced. There were also differences in the dynamics of changes in EMG indicators. In patients with type 2 diabetes mellitus, the decrease in the frequency of EMG OAM began from 10 seconds of the test, IIM – from 15 seconds, in the comparison group – from 5 and 10 seconds, respectively. The OAM EMG amplitude in the main group did not change significantly, in the comparison group it increased from 5 seconds of expiratory effort. At the 10th second of the test, the amplitude index of the EMG OAM in patients with type 2 diabetes mellitus was 10.4% lower (p=0.027) than in the comparison group, and at the 15th second – by 10.5% (p=0.033). Conclusion: The change in the electrical activity of the expiratory muscles in patients with type 2 diabetes mellitus is due to the slowed down dynamics of the frequency-amplitude characteristics of the EMG OAM, uncompensated IIM fatigue, as well as lower values of the OAM EMG amplitude when performing a functional exercise test with a static expiratory effort.

Electrical activity between skin cells regulates melanoma initiation

Oncogenes can only initiate tumors in certain cellular contexts, which is referred to as oncogenic competence. In melanoma, whether cells in the microenvironment can endow such competence remains unclear. Using a combination of zebrafish transgenesis coupled with human tissues, we demonstrate that GABAergic signaling between keratinocytes and melanocytes promotes melanoma initiation by BRAFV600E. GABA is synthesized in melanoma cells, which then acts on GABA-A receptors on keratinocytes. Electron microscopy demonstrates synapse-like structures between keratinocytes and melanoma cells, and multi-electrode array analysis shows that GABA acts to inhibit electrical activity in melanoma/keratinocyte co-cultures. Genetic and pharmacologic perturbation of GABA synthesis abrogates melanoma initiation in vivo. These data suggest that electrical activity across the skin microenvironment determines the ability of oncogenes to initiate melanoma.

Excavating the Scientific Approach and Efficacy of Kavuli Kalam and Savvu Varmam in Treating Epilepsy

In recent days, Siddha system of medicine has emerged as an arena for research especially in varma. Nearly 14.5 lakhs estimated number of people are reported to be affected with epilepsy in India every year. Researchers have concluded that stimulation of kavuli kalam, savvu varmam has powerful effects on epilepsy. The primary objective of this review was to describe the scientific approach and efficacy of kavuli kalam and savvu varmam in treating epilepsy. To treat epilepsy, the electrical disturbances in nerve cell have to be regulated. Stimulation of kavuli kalam and savvu varmam has powerful effect on autonomic nervous system and thereby regulating the sympathetic and parasympathetic nervous activation which leads to balancing the abnormal electrical activity. The effect is also related to muscle, nervous system and blood supply. This review article critically explores the novelty behind the stimulation of kai kavuli kalam, nadu kavuli and savuu varmam for the effective management of epilepsy.

DETERMINATION OF THE ACTIVITY OF REFLEXOGENIC ZONES OF THE BODY DURING THE PERFORMANCE OF STATIC EXERCISE OF HATHA YOGA (DHANURASANA)

By measuring the electrical conductivity of different meridians of the human body data can be obtained to demonstrate the meridian energies. Such non-invasive methods are used to stimulate acupuncture points on the meridians. There is a need to confirm the effectiveness of mechanisms of acupuncture for the human body using scientific methods. Measuring the electrical conductivity of different meridians provides indicators for interpretation. The aim of our study is to establish the possibility of using the method of studying the effect of exercise on the body by means of acupuncture diagnostics according to J.Nakatani’s method on the example of static exercise, which is performed similarly to Dhanurasana (outside the bow in Hatha Yoga). Ten female students were examined. Measurements were taken before the exercise, during and after the exercise after 6 minutes. The results of the research showed significant changes in the indicators of electrical activity in the representative points of the meridians of the body. An increase in electrical activity in the meridians of the human body, which are responsible for the functions of the respiratory, cardiovascular systems, kidneys and adrenal glands, gallbladder, small and large intestines, spleen, pancreas, liver and bladder, and its decrease in the meridian of the stomach. The method of acupuncture diagnostics chosen allows determining the electrical activity of the meridians of the human body during static exercise. It is possible to offer use of this technique of research of influence of physical exercises on a human body along with other generally accepted scientific methods.