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Background Telemedicine Practice Guidelines were promulgated in India in 2020. There is little information about the awareness, knowledge, attitude and skills (AKAS) of the healthcare professionals regarding telemedicine and its practice guidelines a year after. The aim of the study was to study the awareness, knowledge, attitudes and skills of the healthcare workers of the country about telemedicine especially in the context of telemedicine practice guidelines 2020. Methods An online survey was conducted over 12 weeks from active healthcare workers in India. A standard AKAS Questionnaire for telemedicine and other close and open ended questions were used. Results A total of 602 active healthcare workers participated in the study. It was seen that a majority of participants had high scores for awareness, knowledge, and attitude toward telemedicine but a mere 39.53% scored high for skills related to telemedicine. A majority of the respondents had no knowledge of the existence of telemedicine practice guidelines and very few had seen or read them. A majority of the respondents were keen to attend a course or training to enhance their understanding and practice of telemedicine. Conclusion The results of the study show that the basic awareness and background knowledge regarding telemedicine exists in the healthcare professionals in the country. The requirement is to train and educate them about the skills and provisions of the telemedicine practice guidelines 2020 to ensure optimal use of telemedicine and to avoid medico-legal issues.

Objective of current study is to analyse the effect of excitation frequency, magnetic field intensity and waveform on the hysteresis loop and Barkhausen Noise signals. As the property of ferromagnetic material especially the hysteresis loop and Barkhausen noise depends on microstructure, excitation frequency and magnetic field intensity. In this study the hysteresis loop and Barkhausen noise of the mild steel sample were experimentally measured by varying the frequency, intensity and waveform using magnetic Barkhausen noise analyser. Sinusoidal and triangular waveform were applied in varying frequency (0.1 Hz to 0.4 Hz) and intensity (250 Oe to 1000 Oe) for hysteresis loop whereas for Barkhausen noise analysis frequency varies from 20 Hz to 50 Hz and intensity varies from 250 Oe to 1000 Oe. Characteristics of hysteresis loop and magnetic Barkhausen noise depends upon magnetizing parameter and waveforms were explained with the help of micro magnetic theory.

Recently, sheet metal forming industries have shown interest in characterization of anisotropy properties, tension-compression strength differential and deep drawing behavior of commercially pure titanium (CP Ti) material for successful fabrication of lightweight components. In present work, the formability of 1.0 mm thick CP Ti sheet metal was studied using a laboratory scale deep drawing test set-up, and the limiting drawing ratio (LDR) was found to be 2.143. Four ears were observed in the LDR cup with maximum cup height along diagonal direction (DD) and troughs along both rolling direction (RD) and transverse direction (TD), and the earing height was approximately 13.7% of the total cup height. Tensile and stack compression tests were carried out along different orientations to evaluate the anisotropy properties and tension-compression strength differential, and these data were used to develop the CPB06 constitutive yield model. Also, the developed CPB06 anisotropy plasticity theory was implemented in an FE model to predict the non-uniform material flow, earing defect and thickness distribution successfully. In order to reduce earing defect, a two-stage blank modification technique was proposed incorporating directionalities of both yield strength and plastic strain ratio. A significant 83% reduction in earing height was achieved through use of modified blank with simultaneous benefit of improvement in thickness distribution and reduction in peak load.

Indian railways are one of the largest rail networks in the world, and millions of passengers travel daily through it, due to which there are also a vast number of complaints in front of Indian Railways coming every minute through various mediums like COMS (Complaint Management System) app, RailMadad, SMS etc. Given the top-down approach which is followed for the uncategorised complaints making official's work time-consuming. Therefore, faster complaint redressal becomes a critical factor for the passenger's satisfaction. Previous research has focused on traditional machine learning algorithms and Twitter dataset available publicly to tackle this problem. In this work, we have explored deep learning techniques on an official dataset of the COMS app from CRIS (Centre for Railways Information Systems) and proposed RailNeural: an Attention Based Bi-Directional Long Short-Term Memory (LSTM) model which analyses user's complaint input sequences, capturing the underlying character level feature and then classifies them into their respective departments of field units ensuring prompt and accurate redressal of complaints. Our model outperforms several baseline models achieving an accuracy of 93.25 per cent and an F1-Score of 0.93.

This work investigates the potential of improving the mechanical performance of braided composite beams through the introduction of local braid angle variations. Tubular braided beams with a 45°/60°/45° length-wise (axial) braid angle variation were manufactured and tested in quasi-static three-point flexure and their performance was compared with beams having a layer-wise (radial) [±60°/±45°/±45°] variation. Compared to beams having uniform braid angles, axial braid angle tailoring resulted in equivalent flexural performance with a 24% reduction in part weight. In contrast, tailoring in the radial direction did not yield any improvement in mass-specific performance. Deformation analysis of the beams using an extensometer and digital image correlation showed that an axial braid angle variation in each layer resulted in a comprehensive shift in deformation characteristics. Changing the braid angle in the outer layer across the whole beam showed partial change in deformation mode, but did not match the modification observed through axial variation.

This paper deals with the quasi-static crushing behaviour of flanged circular thin walled tubes under axial compressive loading. Finite element model (FEM) was developed using the explicit LS DYNA to simulate the crushing of tubes with various combinations of length, diameter and thickness. Response Surface Methodology (RSM) was later incorporated to analyze the influence of the geometric parameters on the specific energy absorption (SEA) of the tubes. The adequacy of the model was verified by observing the trend of the residuals against fitted values. A relationship between the SEA and the geometrical parameters of the tubes were successfully established for crashworthiness applications.