Miracle-dz/UniFAR-FTUs huggingface dataset:
Using FAIR principles for improving the preparedness of healthcare teams involved in-home care during COVID-19

In 2013, Harden and Laidlaw presented the novel approach named the ‘FAIR model for improving students’ learning’ (Harden and Laidlaw 2013). The FAIR principles are: providing appropriate feedback to the student, involving the student in the active learning process, individualizing the learning to the individual requirements of the student, and making the learning relevant. We believe that this model is suitable for training healthcare teams (HCTs) consisting of a general practitioner, specialty in emergency medicine, nurse, and radiologic technician for home care services in response to the exponential increase in hospitalized and intensive care patients during covid19. In order to train HCTs in their new roles, several simulation sessions were conducted in a skill laboratory of Qazvin University of Medical Sciences. For delivering feedback as an important feature of simulation-based education, first, the purpose of feedback is explained to all members of the team, and 8 evidencebased criteria for preparing feedback that is recommended by Professor Harden were used. For the active engagement of HCTs, we tried to define specific aspects of professional practice to them. Based on participants’ level of experience, they were encouraged to be dynamically involved in various types of simulators and simulated experiences. For individualization of learning, each team member was able to watch a set of videos and educational handouts to identify principles of defined skills, and then they actively engaged in the practice of crises skills across a range of difficulty levels in their learning processes. Each member of the team has the opportunity to improve and refine their skills, repeatedly, if necessary, in their own time. For improving the relevance, during simulation exercises, each member was exposed to a wide variety of clinical conditions as related to the crises situation using high-fidelity simulations. So, this experience allowed staff to put their theoretical knowledge into clinical practice For obtaining the views of HCTs about the FAIR model, we performed a semi-structured interview with them. The HCTs reported that this model was useful for their in-depth understanding of new roles. They also ascertained that focusing on appropriate feedback in this model encouraged them to provide feedback to themselves. Some of them reported that education in this one-month educational course helped them to be more confident about technical and non-technical skills when caring for the most seriously ill patients. On the other hand, using the FAIR principles results in positive outcomes for patients who were more satisfied with the HCTs quality of care.
Conditionals and the hierarchy of causal queries.

Recent studies indicate that indicative conditionals like "If people wear masks, the spread of Covid-19 will be diminished" require a probabilistic dependency between their antecedents and consequents to be acceptable (Skovgaard-Olsen et al., 2016). But it is easy to make the slip from this claim to the thesis that indicative conditionals are acceptable only if this probabilistic dependency results from a causal relation between antecedent and consequent. According to Pearl (2009), understanding a causal relation involves multiple, hierarchically organized conceptual dimensions: prediction, intervention, and counterfactual dependence. In a series of experiments, we test the hypothesis that these conceptual dimensions are differentially encoded in indicative and counterfactual conditionals. If this hypothesis holds, then there are limits as to how much of a causal relation is captured by indicative conditionals alone. Our results show that the acceptance of indicative and counterfactual conditionals can become dissociated. Furthermore, it is found that the acceptance of both is needed for accepting a causal relation between two co-occurring events. The implications that these findings have for the hypothesis above, and for recent debates at the intersection of the psychology of reasoning and causal judgment, are critically discussed. Our findings are consistent with viewing indicative conditionals as answering predictive queries requiring evidential relevance (even in the absence of direct causal relations). Counterfactual conditionals in contrast target causal relevance, specifically. Finally, we discuss the implications our results have for the yet unsolved question of how reasoners succeed in constructing causal models from verbal descriptions. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
A Good Art of Living: Psychological Resilience among Nursing Students

Introduction: “Webster describes resilience as “a strained body’s ability to regain its size and shape after deformation caused especially by Occlusion stress”. Resilience can be described as, “the process of adjusting well in the face of adversity, trauma, catastrophe, threats or even major sources of stress”. Background Of The Study: There is indeed an increasing interest in research to explore why certain nursing students can manage well, but when they all face similar issues and challenges during their course, others cannot. Current studies have found that resilience in graduate student nurses is strongly related to academic success. Need For The Study :A Positive teaching strategy must therefore be created to promote student resilience. This report would also put further more effort to examine the association between resilience and well-being among student nurses. Aim: To assess the psychological resilience among different years of nursing students at selected nursing college. Methodology: Descriptive cross sectional research design. The samples were selected randomly by lottery method and were advised to fill the questionnaires consisting of two sections demographic variables such as age, sex, medium of instruction, background, type of family, religion, class batch, living, bread winner of the family and marital status and regarding the psychological resilience (Modified Connor Davidson Resilience Scale) Findings: According to the findings of the study, among the undergraduate nursing students 80(53.3%) of students had high resilience whereas 6(4.0%) had low resilience and 64(42.7%) had moderate resilience. On comparison, the nursing students of different years showed that the level of psychological resilience is high 27(58.7%) among third year students and low resilience is assessed among 3(2.0%) final years students. The demographic variables had shown statistically no significant association with level of psychological resilience among undergraduate nursing students. A booklet on “I am a Resilient Person” was issued among the participants.
Three dimensional silicon triple-hot-wire anemometer based on polyimide joints

The first three dimensional (3D) flow sensor probe based on polyimide joints has been fabricated and successfully tested. The new 3D sensor, which is specially designed for turbulent gas flow measurements, is based on the anemometer principle, i.e. gas cooling of electrically heated hot-wires. The sensor probe consists of three perpendicular 500 /spl mu/m/spl times/5 /spl mu/m/spl times/2 /spl mu/m polysilicon hot-wires giving a measuring volume sufficiently small to resolve the small eddies in a turbulent flow. A bulk micromachining process in combination with sacrificial etching is used to form the hot-wire probes. The hot-wires are connected to 30 /spl mu/m thick bulk silicon beams which are defined by double sided KOH etching. Two wires (x and y) are located in the wafer plane and the third z-wire is rotated out of the plane using a new robust micro-joint. The self-assembly micro-joint with small bending radius is based on thermal shrinkage of polyimide in V-grooves. High flow sensitivity for the anemometric hot-wires has been measured. Time constants of 120 and 330 /spl mu/s were measured for the cooling and heating of the hot-wires, respectively.
Modelling and Simulation Strategies for the Electric Systems of Large Passenger Aircraft

The simulation of a power system such as the More Electric Aircraft is a complex problem. There are conflicting requirements of the simulation, for example in order to reduce simulation run-times, power ratings that need to be established over long periods of the flight can be calculated using a fairly coarse model, whereas power quality is established over relatively short periods with a detailed model. An important issue is to establish the requirements of the simulation work at an early stage. This paper describes the modelling and simulation strategy adopted for the UK TIMES project, which is looking into the optimisation of the More Electric Aircraft from a system level. Essentially four main requirements of the simulation work have been identified, resulting in four different types of simulation. Each of the simulations is described along with preliminary models and results.
An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals

Today’s wearable medical devices are becoming popular because of their price and ease of use. Most wearable medical devices allow users to continuously collect and check their health data, such as electrocardiograms (ECG). Therefore, many of these devices have been used to monitor patients with potential heart pathology as they perform their daily activities. However, one major challenge of collecting heart data using mobile ECG is baseline wander and motion artifacts created by the patient’s daily activities, resulting in false diagnoses. This paper proposes a new algorithm that automatically removes the baseline wander and suppresses most motion artifacts in mobile ECG recordings. This algorithm clearly shows a significant improvement compared to the conventional noise removal method. Two signal quality metrics are used to compare a reference ECG with its noisy version: correlation coefficients and mean squared error. For both metrics, the experimental results demonstrate that the noisy signal filtered by our algorithm is improved by a factor of ten.
Fuel Consumption of Wheeled Vehicle and Transportation Costs during Highway Construction/Reconstruction

A method is proposed for determining the fuel consumption of a wheeled vehicle depending on its speed, road surface flatness and road slope in the longitudinal direction. The purpose of the research is to derive mathematical relationships for calculating the fuel consumption of vehicles, which is one of the transport cost factors during the construction/reconstruction or overhaul of a highway. The proposed polynomial dependencies for calculating fuel in addition to vehicle speed, road surface flatness and its longitudinal slope take into account the mass-dimensional parameters of vehicles involved in road traffic. New mathematical relationships between the speed of wheeled vehicles, road surface flatness and longitudinal road slope allow to simulate the change in the value of fuel consumption of a wheeled vehicle when the speed of traffic flow or the slope of the road surface changes in the forward or reverse direction of the vehicle. In a graphic way, the influence of the pavement slope on the value of fuel consumption, both loaded and unloaded wheeled vehicle is presented. When determining transport costs associated with the highway construction, reconstruction or overhaul it is proposed to use empirical mathematical relationships, which make it possible to obtain fuel consumption with an accuracy of 5 % and save up to 15 % of budget (private) investments. The analysis of scientific publications of the existing approach determine the transport costs associated with highway construction, reconstruction or overhaul. The presented method for determining the fuel consumption of wheeled vehicles with small and large loading capacity increases the accuracy of determining transportation costs and reduces the level of financial costs for highway construction, reconstruction or overhaul.
Analytical and experimental investigations on vibration control mechanisms for flexible active structures

The study of smart structures with active devices of sensors and actuators for self-monitoring and self-adaption has been of much recent research interest. Active vibration control is a major application focus and there has been tremendous amount of research work on active vibration control of flexible structures using piezoelectric materials. In this paper, the control mechanism for a flexible cantilever plate structure using surface bonded piezoelectric sensors and actuators has been studied through analytical simulations and experiments. The sensor outputs were used to determine the amount of input to the actuators for controlling the response of the structure in a closed loop. The responses under different control mechanisms were analysed by three dimensional finite element model. The effectiveness of different feedback control methods in altering system characteristics and system responses of the structure was investigated. Experimental investigations on active vibration control were also conducted on a cantilever plate with surface bonded piezoelectric sensors and actuators.
DTV signal ambiguity function analysis for radar application

Signals transmitted by digital television-terrestrial (DTV-T) stations are analysed as a non-cooperative illuminator in bistatic radar. It is shown that the original DTV-T signal contains random and some deterministic components. The use of this signal for radar applications is studied on the basis of an ambiguity function (AF). Signal processing algorithms at the reception side are then proposed to improve the AF of the DTV-T signal.
Optimal multi-phase coupled buck converter architecture dedicated to strong power system integration

Magnetic coupling is a very promising concept to be applied in interleaved power converter in a context of power electronics integration. However, several possible architectures using parallel and/or series intercell transformers can be chosen. It must be found which architectures have to be used when the number of phases increases. In the first part of the paper, a model of magnetic coupler is proposed. This model is used to analyze and compare different magnetic coupling configurations used in interleaved Buck converters in order to find the best configurations (efficiency and complexity). It is based on a harmonic analysis of a multi-phase balanced system. In the second part, an optimal modified sequence of phase order is proposed to enhance performances of configurations in order to find the best. Finally, an experiment validation is presented.
A sequential relationship between entrepreneurial orientation, human resource management practices, collective organisational engagement and innovation performance of small and medium enterprises

Despite the increasing relevance of entrepreneurial orientation (EO) for innovation performance in the context of small and medium enterprises (SMEs), few studies examine the complexity of the underlying mechanism that explains the relationship between EO and innovation performance. Drawing on the resource-based view (RBV) and signalling theory, we examine an organisation-level model to explain how SME EO predicts innovation performance through human resource management (HRM) practices and collective organisational engagement (COE). We used data collected from 186 human resource managers and 526 employees in SMEs. The results indicate that HRM practices and COE sequentially mediate the relationship between EO and innovation performance. To complement studies that identify an organisation’s micro processes (i.e. employee behaviours as mediators between EO and innovation), this study highlights the need to examine macro processes occurring at the organisation level to account for the EO–innovation performance relationship.
M. tuberculosis CRISPR/Cas proteins are secreted virulence factors that trigger cellular immune responses

ABSTRACT The role of prokaryotic CRISPR/Cas system proteins as a defensive shield against invasive nucleic acids has been studied extensively. Non-canonical roles in pathogenesis involving intracellular targeting of certain virulence-associated endogenous mRNA have also been reported for some Type I and Type II CRISPR/Cas proteins, but no such roles have yet been established for Type III system proteins. Here, we demonstrate that M. tuberculosis (Type III-A system) CRISPR/Cas proteins Csm1, Csm3, Csm5, Csm6, and Cas6 are secreted and induce host immune responses. Using cell and animal experiments, we show that Cas6, in particular, provokes IFN-γ release from PBMCs from active tuberculosis (TB) patients, and its deletion markedly attenuates virulence in a murine M. tuberculosis challenge model. Recombinant MTBCas6 induces apoptosis of macrophages and lung fibroblasts, and interacts with the surface of cells in a caspase and TLR-2 independent manner. Transcriptomic and signal pathway studies using THP-1 macrophages stimulated with MTBCas6 indicated that MTBCas6 upregulates expression of genes associated with the NF-κB pathway leading to higher levels of IL-6, IL-1β, and TNF-α release, cytokines known to activate immune system cells in response to M. tuberculosis infection. Our findings suggest that, in addition to their intracellular shielding role, M. tuberculosis CRISPR/Cas proteins have non-canonical extracellular roles, functioning like a virulent sword, and activating host immune responses.
Photosensitivity and application with 157-nm F/sub 2/ laser radiation in planar lightwave circuits

Photosensitivity studies of germanosilica planar waveguides were carried out with short-wavelength 157-nm light from an F/sub 2/ laser. More than a 5/spl times/10/sup -3/ refractive-index change was induced in a nonuniform index profile concentrated near the cladding-core interface and confirmed by an atomic force microscopy in 157-nm radiated fiber. This profile geometry narrows with the laser exposure to offer practical application in trimming phase errors and controlling birefringence in frequency domain modulators where a 1.7/spl times/10/sup -3/ effective index change and a 5/spl times/10/sup -4/ birefringence change were induced, respectively. The 157-nm photosensitivity response is more than 15 times stronger than that by a 248-nm KrF laser and more than twofold stronger than that by a 193-nm ArF laser.
3D image reconstruction of ovarian tumor in the ultrasonic images

The prevalence of ovarian tumor malignancy can be monitored by the degree of irregularity in the ovarian contour and by the septal structure inside the tumor observed in ultrasonic images. However the 2D ultrasonic images can not integrate 3D information form the ovarian tumor. In this paper, we present an algorithm that can render the 3D image of an ovarian tumor by reconstructing the 2D ultrasonic images into a 3D data set. This is based on sequentially boundary detection in a series of 2D images to form a 3D tumor contour. This contour is then used as a barrier to remove the data containing the other tissue adhering to the tumor surface. The final 3D image rendered by the isolated data provides a clear view of both the surface and inner structure of the ovarian tumor.
New structure of silica-based planar lightwave circuits for low-power thermooptic switch and its application to 8 /spl times/ 8 optical matrix switch

We propose a novel structure that reduces the switching power of a silica-based thermooptic switch (TOSW). The structure consists of silicon trenches and heat insulating grooves, which are formed beneath and beside the arms of a Mach-Zehnder interferometer, respectively. We optimize the structure using the differential-element method (DEM) and fabricate a 2 /spl times/ 2 TOSW with a switching power of only 90 mW, namely, 75% less than that of a conventional TOSW. We also obtain an insertion loss of about 1 dB and an extinction ratio of over 30 dB with a response time from 0% to 90% of 4.9 ms. We then use the structure to fabricate an 8 /spl times/ 8 matrix switch and confirm a total power consumption of 1.4 W with an average insertion loss of 7.4 dB and an extinction ratio of 50.4 dB for 64 possible optical paths.
Design optimization of gate-all-around (GAA) MOSFETs

The design of gate-all-around (GAA) MOSFETs was optimized and compared with that of double-gate MOSFETs. We discussed the optimal ratio of the fin width to the gate length and investigated short-channel effects of GAA MOSFETs. Using three-dimensional simulations, we confirmed that short-channel effects were properly suppressed although the fin width was the same as the gate length in GAA MOSFETs. Finally, we compared cubical channel GAA MOSFETs with cylindrical-channel ones. As a result, it was observed that the latter showed the maximized ratio of the fin width to the gate length up to 1.2.
Private-public partnership-produced urban space – An antithesis to ‘the right to the city’: A case study of Ruwa Town, Zimbabwe, from 1986-2021

The article illustrates how the private-public-led urban development disenfranchised Ruwa residents’ rights to control the planning of their local environments and affordable access to basic public amenities and services in their town. Ruwa was one of the first postcolonial towns in Zimbabwe to emerge and develop using the private-public approach. The study uses Henri Lefebvre’s notion of the ‘right to the city’ as analytical lens. Lefebvre presents a vision for urban areas, in which residents manage urban space for themselves, beyond the control of private capital. In the same vein, this article argues that, although the private-public partnership approach was instrumental in the development of Ruwa Town, residents were left out of decision-making processes, yet they were the major stakeholders in the development process. Residents should take charge of development processes in their areas through grassroots participation. The study used mixed research tools which drew data from primary documents, statistical records, and interviews with various stakeholders of Ruwa Town development.
Multiobjective Optimal Design of a High Speed Brushless DC Motor

A multiobjective optimal design of a low-voltage high-speed brushless DC motor is presented. The dedicated motor is modeled in magnetic circuits and designed to meet specifications of a multifunctional optimization scheme, subject to constraints, such as limited space, current density, flux saturation, and driving voltage. Finite element analyses are then carried out to obtain the electromagnetic, thermal, and modal characteristics of the motor for modification and verification of the preliminary design. The motor prototype fabricated is controlled by a PWM driver. The measured motor performance show that the optimal design is reliable and satisfactory and leads to a significant reduction in motor weight, and hence in the machine cost.
The design and analysis of an improved high air flow meter with analog/digital filters

High air flow meters in the range of 0.0 SLM (standard liters per minute) to 200.0 SLM and using a built-in microbridge sensor in flow housing induce a significant amount of turbulence noise in the output signal. The authors analyze the sensor output signal and introduce an analog/digital (A/D) design to reduce the noise and to realize the industrial standard output range of 1.00 VDC to 5.00 VDC. Tests are performed with an A/D data acquisition system and Fourier analyzer for flow data analysis, and the flow data file is used for offline time and frequency domain analysis and digital filter design simulation. The magnitude, the mean and the autocorrelation are calculated and measured. An analog Butterworth filter was implemented on this high flow meter in real time and the signal-to-noise ratio was improved. The digital forward linear predictor was implemented with a digital signal processor, and high- and low-frequency noise was eliminated. <<ETX>>