The paper contains ECG data pertaining to MIT-BIH arrhythmia database and Primary data\ncollected with the help of Biopack ECG machine. 100ML11 and 102MV5 are the records\ntaken from MIT-BIH arrhythmia. Primary data collected from the students in a P.G\ndepartment at Chandigarh with the consent of the students. These records belong to idle\nmode, 2G-Rx mode, 2G-Tx mode. A total of six types of records are collected and analyzed.\nThe analysis is performed using segmentation of QRS complexes in the beats. Elman back\npropagation and Feed forward back propagation artificial neural works are used in this work\nto classify the data. Statistical parameters and wavelet coefficient are the features used for\ndata classification. A sensitivity of 92.60% and 94.56% is achieved using Elman back\npropagation and Feed forward back propagation network. Also a specificity of 97.99% and\n98.38% is achieved using the respective artificial neural networks. Accuracy of the order of\n97.10% and 97.74% has been achieved using Elman back propagation and Feed forward back\npropagation network. All the results are measured using fivefold cross validation. Feature\nselection for a classifier improves the classification results as shown in Table 9. Mean values\nof four of the features further help to analyze the effects of mobile phone radiation on ECG.\n2G-Rx mode shows greater effects of mobile phone radiations on amplitudes of the QRS\ncomplexes in ECG data with lowered values of amplitude compared to idle and 2G-Tx mode.\nThis amplitude, a statistical value is higher compared with data from MIT-BIH arrhythmia\ndatabase. Data from 2G-Rx mode also shows better classification results compared with idle\nand 2G-Tx modes. Classification results for MIT-BIH arrhythmia data are better than the\nresults from 2G-Rx mode.\nSpecification Table\nSubject area Effects of mobile phone radiations on recorded ECG/ patterns.\n2G-RX mode This is a mode when students receive a call for half an hour,\nthen samples are recorded using ECG machine.\n2G-Tx mode This is a mode when a student talks for half an hour (i.e. talks),\nand samples then samples are recorded.\nidle Mode Student relaxes for one hour and then ECG is recorded.
The Chlorpyrifos-methyl belongs to the organophosphorus pesticides, widely used in agriculture and for domestic gardening in several European countries. Its toxic action is associated with the inhibition of the enzyme acetylcholinesterase, which controls the levels of acetylcholine. Acute pancreatitis and hyperamylasemia are both possible consequence to a severe intoxication by Chlorpyrifos-methyl, however few cases are reported in the literature and they reported intoxication by high dosage of pesticide. \nIn this case report, we suggest that even a slight dosage of pure Chlorpyrifos-methyl can cause pancreatic damage with the concrete risk of pump failure condition and multi-organs failure related to the processes of cytopathic hypoxia and of cellular oxidative stress. Finally, a prognostic role is proposed to the alpha-amylase, to evaluate the effectiveness of the pharmacological therapy.
We have investigated the thermodynamic properties of the quaternary Heusler alloys PdRuZrGe, employing the full potential linearized augmented plane wave (FP-LAPW) plus local orbitals method based on the density functional theory (DFT), for the exchange–correlation effects we have adopted the generalized gradient approximation (GGA). The effect of temperature and pressure on unit cell volume (V), Bulk modulus (B), Debye temperature (θ_D), specific heat (CV) and thermal expansion coefficient (α) have been studied using Quasi-harmonic Debye model in a wide temperature range 0-1000 K and pressure range 0-160 GPa. Moreover, the high Debye temperature and high heat capacity obtained allow classifying our quaternary Heusler alloy PdRuZrGe, as hard material with the specificity of store the heat. Also the minimum entropy value obtained confirms that our material is highly ordered in comparison with other compounds.