Miracle-dz/UniFAR-FTUs huggingface dataset:
Image Of A Teacher In The Context Of Digital Pedagogy

Nowadays in the digital transformations of educational system there is a necessity to take a new look at the image of a teacher, who still remains the key factor in educational environment. Teacher’s personality effects the outcomes and effectiveness of the educational process. In this regard, we should reconsider the obligatory pre-service teacher’s personal qualities, which will enable the novice teacher to work at “digital” schools. Although several models of teacher professional qualities exist, they require further analysis under conditions of significant digital shift in educational restructuring. Therefore, the aim of the present research is to define the content and structure of image-forming characteristics of pre-service teachers on the new development stage of digital education. To fulfill the challenging endeavor, we analyzed the scientific literature and conceptualized the “image of a teacher”; by means of content analysis we investigated the structure and functions of an image of a teacher; with comparative and intent analysis we surveyed the bachelor students of the “Pedagogical Education” department (Pskov State University, Russia) specializing in the Russian and English languages, in order to determine the professional characteristics they have acquired, with a special attention to their digital literacy as an essential part of their professional competence. As a result, following the theoretical ideas, we have worked out some guidelines for the development of the image of pre-service teachers, which will enable them to succeed in their future pedagogical career.
Automated atrial fibrillation recognition in 12- lead electrocardiographic records: a signal to image and transfer learning approach: A case-control accuracy study

Purpose: Atrial fibrillation (AF), the most common among cardiac arrhythmias, is associated with significant morbidity and mortality. For its diagnosis, documentation of the electrocardiographic tracing is required. The use of eletrocardiogram has been established as a valuable noninvasive diagnostic tool, and the interpretation of electrocardiographic records using deep learning models has attracted significant attention in recent years. Relying on signal-to-image and transfer learning approaches, this study is aimed at the development of a deep neural network for classifying binary electrocardiographic records according to their rhythm, i.e., normal or AF.Methods: Electrocardiographic records labeled as normal (n = 917) or AF (n = 1,097) from the China Physiological Signal Challenge 2018 were collected and used to generate images, which were split into training and test sets and used as inputs to a dense convolutional neural network (DCNN). For the training, transfer learning with a fine tuning of all layers was applied. For a performance evaluation of the test set, the accuracy, sensitivity, specificity, F1-score, and area under the curve (AUC) were used as metrics.Results: For the test set, the proposed model achieved an accuracy of 99.34%, sensitivity of 98.85%, specificity of 100.00%, F1-score, of 99.42%, and AUC of 0.99. Conclusion: To validate the methodology, as well as apply it to the multilabel classification of arrhythmia, it is important that further studies adopting this approach be conducted for the detection of AF in larger volumes of data.
Electromagnetic design of axial-flux permanent magnet machines

A general, analytic approach to the calculation of magnet fields in a slottless, axial-flux, permanent magnet generator is presented. The basic 'building block' is the vector potential produced by a current sheet situated between two, infinitely permeable, iron surfaces. By modelling the magnet by currents at its periphery, and integrating over the magnet thickness, the vector potential and magnetic field due to the permanent magnets can be found. In contrast the armature winding is represented by a current sheet close to the stator iron surface. Magnetic field results produced by the analytic equations have been compared with two-, and three-, dimensional finite element studies and found to produce results comparable to within 5%. In addition emf, flux and inductance measurements have been made on two generators and compared with both finite element and analytic results. The analytic model predicts the emf to within 5%. The 'end winding' inductance of a toroidal, air-gap, armature winding, is shown to contribute significantly to the overall inductance with the analytical model predicting the inductance to within 10% of the measured values.
A Novel Input Ripple Current Suppressing Topology Configuration and Controller for Residential Fuel Cell Power Conditioning System

Proton exchange membrane fuel cell (PEMFC)’s power conditioning system (PCS) for residential application always contains two stage converter configuration of the dc-dc converter and the power grid connection dc-ac inverter. As known well, the inverter tends to draw an ac ripple current at twice the output frequency. For fuel cell system, the ripple current has worse effect than the other system, since it reduces the fuel cell system’s output capacity and wastes the fuel. Worst of all, it shortens the fuel cell’s life span. In this paper, first, the power grid connection PEMFC PCS’s ripple current source and propagation are analyzed. Then, a ripple suppressing PCS topology configuration and controller are proposed to achieve the low input ripple current control.
Frequency of bla CTX-M and bla TEM Virulence Genes and Antibiotic Resistance Profiles among Klebsiella pneumoniae Isolates in Urinary Tract Infection (UTI) Samples from Hashtgerd, Iran.

Background Klebsiella pneumoniae (K. pneumoniae) is an opportunistic microorganism and one of the most important causes of urinary tract infection. This study aimed to evaluate the frequency of K. pneumoniae producing broad-spectrum beta-lactamase in urinary tract infection and to determine the pattern of drug resistance. Methods This study was performed on 50 samples of K. pneumoniae isolated from patients with urinary tract infection referred to the Medical Diagnostic Laboratory in Hashtgerd city. The isolates were first evaluated for antibiotic susceptibility by disk diffusion method according to the method proposed by the Clinical and Laboratory Standards Institute (CLSI). Then phenotypic detection of ESBLS was carried out by the DDST method. The frequency of gene bla TEM and bla CTX-M was determined by PCR. Results The highest resistance was observed to ampicillin (94%) and the highest sensitivity was observed to gentamicin (84%). 22 isolates (44%) were positive for ESBLs production. Of the 50 isolates studied, 34% had bla CTX-M and 28% had bla TEM and 11 (22%) had both genes simultaneously. Also, more than 77% of positive ESBLs isolates had the bla CTX-M gene and approximately 63.64% of positive ESBLs isolates had the bla TEM gene. Conclusion Given the high prevalence of antibiotic-resistant and ESBL-producing isolates, early identification of these resistant isolates and their follow-up is essential to prevent further outbreaks. It is also important to use appropriate therapeutic strategies and proper and rational administration of antibiotics by physicians.
Exploratory Graph Analysis for Factor Retention: Simulation Results for Continuous and Binary Data

Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists discover latent variables. Yet, the results can be influenced by the methodological decisions the researcher makes along the way. In this article, we focus on the choice regarding the number of factors to retain: We compare the performance of the recently developed EGA with various traditional factor retention criteria. We use both continuous and binary data, as evidence regarding the accuracy of such criteria in the latter case is scarce. Simulation results, based on scenarios resulting from varying sample size, communalities from major factors, interfactor correlations, skewness, and correlation measure, show that EGA outperforms the traditional factor retention criteria considered in most cases in terms of bias and accuracy. In addition, we show that factor retention decisions for binary data are preferably made using Pearson, instead of tetrachoric, correlations, which is contradictory to popular belief.
COVID-19 vaccination in rural India: a battle to be won!

As of 22nd July 2021, 13.3% of world’s population are fully vaccinated and 26.8% of world’s population have received at least one dose of COVID-19 vaccine. COVID-19 vaccination drive was launched in India on 16th January 2021 with two government approved vaccines Covishield® and Covaxin®. About 65.53% of India’s population resides in rural areas. As vaccination is progressing, a gap (of number of vaccines administered) between urban and rural vaccination centers is clearly becoming evident. By mid-May, 30.3% of India’s urban population had received at least one dose of the vaccine compared to 19.2% in semi-urban areas, 15.1% in semi-rural areas and just 12.7% in rural areas. Vaccine roll out in rural areas is adversely affected probably because of unequal access in rural area, vaccine hesitancy due to misinformation and myths being circulated through social media and low educational status of rural population as compared to the urban peers. A successful COVID-19 vaccination drive depends on maximum possible coverage. Through this manuscript we aim to draw attention to objective and feasible strategies in order to bridge the existing urban-rural vaccination gap.
Dietary Intake of Soy Products, Vegetables, and Dairy Products and Gastric Cancer Survival according to Histological Subtype: a Long-term Prospective Cohort Study

Purpose Owing to differences in the general characteristics of gastric cancer (GC) according to histological type, the association of GC risk factors, such as diet, may also differ depending on the histological type. We investigated the associations between individual and combined intake of soy products, vegetables, and dairy products and GC mortality by following up cases of death among Korean GC cases and whether these associations differ according to the histological type. Materials and Methods A total of 508 GC cases were enrolled from two hospitals between 2002 and 2006. Their survival or death was prospectively followed up until December 31, 2016, through a review of medical records and telephonic surveys. Finally, 300 GC cases classified as intestinal- or diffuse-type GC cases were included. The median follow-up period was 7.1 years. Results In the fully adjusted model, a high intake of soy products (hazard ratio [HR], 0.43; 95% confidence interval [CI], 0.19–0.96) and the combination of soy products and vegetables (HR, 0.34; 95% CI, 0.12–0.96) or soy products and dairy products (HR, 0.37; 95% CI, 0.14–0.98) decreased the mortality from intestinal-type GC. In particular, patients consuming various potentially protective foods (HR, 0.23; 95% CI, 0.06–0.83) showed a highly significant association with a lower mortality from intestinal-type GC. However, no significant association was found with diffuse-type GC. Conclusions High intake of potentially protective foods, including soy products, vegetables, and dairy products, may help increase survival in intestinal-type GC.
Nonlinear circuit-reduction of high-speed interconnect networks using congruent transformation techniques

A new algorithm based on Krylov subspace methods is proposed for efficient simulation of large interconnect networks with nonlinear terminations. Reduction is obtained by projecting the original system described by nonlinear differential equations into a subspace of a lower dimension. The reduced circuit can be simulated using conventional numerical integration techniques. Significant reduction in computational expense is achieved as the size of the reduced equations is much less than that of the original system. The new algorithm is potentially useful for analysis of lossy coupled transmission lines with nonlinear terminations.
Socioeconomic and Climatic Impacts of Photovoltaic Systems Operating High-Efficiency Irrigation Systems: A Case Study of the Government Subsidy Scheme for Climate-Smart Agriculture in Punjab, Pakistan

This paper presents the results of a field study conducted in the Punjab, Pakistan, to evaluate the socio-economic and climatic impact of Photovoltaic (PV) systems installed under government subsidy scheme for operating high efficiency irrigation systems (HEIS) i.e., drip and sprinkler irrigation systems. Agriculture provides livelihood to almost half of the rural population and recent energy crisis in the country has adversely affected the rural communities. Farmer’s dependence on fossil fuels has significantly increased for operating irrigation systems which has resulted in high costs of agriculture production. Government of Punjab has launched a subsidy scheme to install PV systems for operating efficient drip and sprinkler irrigation systems on cost sharing basis. Photovoltaic systems having a capacity of 17.30 megawatt, were installed to operate high efficiency irrigation systems at around twenty thousand acres under this subsidy project, that has resulted in an annual saving of 0.0066 billion liters of diesel. The average capacity of installed PV systems was 9.0 kilowatt, which matched the 7.50 horse power of installed water pumps. On average, the cost of a PV system per acre was calculated to be 0.000142 billion PKR, while the cost per kWp was calculated to be 0.000149 billion PKR. The research results show that the installation of photovoltaic systems has increased the adoption rate of high-efficiency irrigation systems, reduced carbon dioxide emissions, and reduced the high operating costs associated with diesel powered pump systems. The primary data about on-farm agriculture and irrigation practices used in this study were collected through in-depth farmer surveys, while the secondary data information came from reports, official documents and statistics issued by the government.
Bioactivity of Meliaceae, Amaryllidaceae, Solanaceae and Amaranthaceae plant aqueous extracts against the cattle tick Rhipicephalus microplus

Abstract Commercial synthetic acaricides have selected resistant populations of Rhipicephalus microplus, and generate residues in the environment or in milk/cattle products. In this study, aqueous extracts (AE) from Melia azedarach (Maz), Allium sativum, Capsicum chinense, Nicotiana tabacum (Nta) and Dysphania ambrosioides were evaluated for the bioactivity against the cattle tick. The treatment using Nta or Maz AE resulted in the lowest egg hatching rate (34.0 ± 11% and 25.0 ± 19%), and in the values of reproduction inhibition ranging from 89.0% to 85.3%. Phytochemical screening associated to RP-HPLC/DAD analysis suggested the presence of alkaloids for Nta and gallic acid derivatives and catechins, for Maz. Such results highlighted that the use of Nta and Maz AE can be a promising source of bioactive compounds for the control of infections caused by the cattle tick. Graphical Abstract
Energy Efficiency Optimization for Compact Massive MIMO Wireless Systems

In the face of the unprecedented demand for higher data rates while coping with the constraints from physical size (i.e., windward area), it is profitable to deploy compact planar arrays (CPAs) on the base stations (BSs). But massively densified antenna deployment not only leads to antenna mutual coupling (MC), but also consumes additional energy due to the equipment of more radio frequency (RF) chains. This paper studies energy efficiency (EE) optimization for massive multi-input multi-output (MIMO) wireless systems with a CPA in the presence of MC. In comprehensive consideration of the spectral efficiency (SE) and power consumption, a joint optimization problem of beamforming and antenna subset (AS) is proposed. Our motivation is to relieve the effects of MC and reduce the relevant energy consumption by constructing irregular AS. Particularly, considering the nonconvexity of the objective and the discrete 0-1 constraints, an available iterative algorithm, named the energy-efficient beamforming and AS (EE-BF&AS) algorithm, is developed. Numerical results illustrate that when MC is modeled, the proposed EE-BF&AS algorithm outperforms conventional related approaches in EE. By using the AS switching strategy, the irregular AS can be constructed to make MC less serious and let the relevant energy consumption decrease.
Verification of limiter performance in modern excitation control systems

Modern excitation systems include devices for controlling or limiting machine terminal voltage (overvoltage limiters), volts per hertz ratio (V/Hz limiters), maximum machine field current (overexcitation limiters), and the reactive load absorbed by the machine (underexcitation limiters). Functional testing of these limiters before they are placed into commercial service is recommended. The Bureau of Reclamation (USA) routinely performs functional testing to determine the actual settings and operational characteristic of these limiters as part of excitation system commissioning tests on its hydroelectric generators. This paper discusses the purpose and practice of functionally testing these limiters. >
A Robot Ping-Pong Player: Experiments in Real-Time Intelligent Control

This tour de force in experimental robotics paves the way toward understanding dynamic environments in vision and robotics. It describes the first robot able to play, and even beat, human ping-pong players.Constructing a machine to play ping-pong was proposed years ago as a particularly difficult problem requiring fast, accurate sensing and actuation, and the intelligence to play the game. The research reported here began as a series of experiments in building a true real-time vision system. The ping-pong machine incorporates sensor and processing techniques as well as the techniques needed to intelligently plan the robot's response in the fraction of a second available. it thrives on a constant stream of new data. Subjectively evaluating and improving its motion plan as the data arrives, it presages future robot systems with many joints and sensors that must do the same, no matter what the task.Contents: Introduction. Robot Ping-Pong. System Design. Real-Time Vision System Robot Controller. Expert Controller Preliminaries. Expert Controller. Robot Ping-Pong Application. Conclusion.Russell L. Andersson is Member of Technical Staff, Robotics Systems Research Department, AT&T Bell Laboratories. "A Robot Ping-Pong Player" is included in the Artificial Intelligence Series, edited by Patrick Winston and Michael Brady.
Mobile learning: research, practice and challenges

Over the past ten years mobile learning has grown from small-scale studies to large national and international projects, but it still lacks an evidence base of comparative studies and research into large-scale deployment. Existing systems can be described along a dimension of ‘formality’, ranging from mobile devices in fixed settings such as classrooms managed by a teacher, to highly mobile learning applications in informal learning, controlled by the learner. Recent research has investigated the concept of‘seamless learning’ with the aim of supporting a continuity of learning across contexts and devices, for example to connect learning in classrooms and on school museum visits. Factors influencing the success of mobile learning include: availability of technology, institutional support, connectivity, integration into everyday life, and ownership by the learners. Some challenges for the future include improving the usability of mobile learning technology, designing new forms of informal learning supported by personal mobile devices, and evaluating learning that occurs outdoors and across locations.
Swept frequency response test for condition monitoring of power transformer

The paper discusses the modelling and testing of a large 500 kVA distribution type power transformer with iron cored disk-type windings. The models developed show a close trend between the measured and predicted frequency response. The results are believed to be very encouraging for further work in this area. Furthermore, the method used in this paper is sufficiently general to be easily applied to other electromagnetic devices.
3D printed iris bandpass filters for millimetre-wave applications

Two iris bandpass filters implemented by three-dimensional (3D) printing technology for millimetre-wave applications are demonstrated for the first time. The filters are designed at the E-band (60-90 GHz), and fabricated by selective laser melting using CuSn15 alloy powder. A shifted passband and increased insertion loss are observed, which is caused by the fabrication tolerance of dimensional control and surface roughness. Methods to compensate the fabrication tolerance are proposed and the design procedures are provided. The presented results prove the great potential of 3D printing technology for millimetre wave applications.
SAR distribution and temperature increase in an anatomical model of the human eye exposed to the field radiated by the user antenna in a wireless LAN

Wireless personal communication is a rapidly expanding sector, particularly in the field of cellular mobile phones and wireless local area networks (WLAN's). In an indoor WLAN system, the user of the mobile terminal can find himself in close proximity to the radiating antenna. It is, therefore, important to consider possible health hazards due to this type of exposure. As the most considered adverse effects of the electromagnetic (EM) fields are of thermal nature, particularly with reference to the eye, in this paper, the authors have evaluated the temperature increase induced in a human eye exposed to WLAN-like fields. In particular, they have considered possible WLAN's operating in the range between 6-30 GHz, so that the incident field can be simulated via a plane wave. As a first step, the authors have computed the specific absorption rate (SAR) distribution in a human-eye anatomical model, developed from the "visible human" data set, by using the finite-difference time-domain (FDTD) numerical technique with a cell resolution of 0.5 mm. Starting from the calculated SAR values, the heating distribution has been derived through the bioheat equation, which has been solved using an explicit finite-difference scheme. Temperature increases of the order of 0.04/spl deg/C have been calculated in the eye lens with an incident power density of 1 mW/cm/sup 2/ at 6 GHz. Lower heating is obtained in the lens when the frequency increases. Finally, considerations about the exposure limits in the considered frequency range are made.
Road Bank Angle Estimation for Land Vehicle

This paper presents a method for estimating road bank angle for land vehicle. When the vehicle is traveling on a lateral slope road, due to the effect of suspension, roll will be occur. While the ordinary method for the roll angle measurement is by gyro which is mounted on a vehicle body, the measured value of the roll angle includes not only the suspension’s deformation but also includes road bank angle. In order to obtain independent parameters, other methods must be used. First , we get the corresponding roll parameters of vehicle suspension through PSO by taking rotation test in the plane. Combined with parameters we get through inertial measurement module, a method is proposed to estimate the road bank angle. Finally, effectiveness of the method is verified through experiments.