Miracle-dz/UniFAR-FTUs huggingface dataset:
Taking experiences of disrespectful misrecognition in blended workgroups seriously

ABSTRACT This article explores how experienced relational quality in blended workgroups consisting of permanent and temporary members is affected by temporary members’ normative expectations for the relationship. We draw on Axel Honneth’s four primary forms of recognition to illuminate the foundation of normative expectations. This focus on temporary members’ normative expectations contrasts with existing research in blended workgroups, focusing predominantly on the behavior of permanent members towards temporary ones. We draw on illustrative examples from a qualitative study of first – and third-year nursing students’ experiences during their internships at somatic hospitals. First – and third-year students report how they experience a deviation from their normative expectations as a threat to their positive self-image. In conclusion, we propose that the normative expectations characterizing the relationship between nursing students and permanent nurses can be described based on three forms of recognition:’ visibility,’ ‘respect,’ and ‘esteem. ’
Point Clouds Registration by Using Depth Images

In this paper, we propose an efficient way to produce an initial transposed matrix for two point clouds, which can effectively avoid the drawback of local optimism caused by using standard Iterative Closest Points (ICP)[ algorithm when matching two point clouds. In our approach, the correspondences used to calculate the transposed matrix are confirmed before the point cloud forms. We use the depth images which have been carefully target-segmented to find the boundaries of the shapes that reflect different views of the same target object. Then each contour is affected by curvature scale space (CSS)[ method to find a sequence of characteristic points. After that, our method is applied on these characteristic points to find the most matching pairs of points. Finally, we convert the matched characteristic points to 3D points, and the correspondences are there being confirmed. We can use them to compute an initial transposed matrix to tell the computer which part of the first point cloud should be matched to the second. In this way, we put the two point clouds in a correct initial location, so that the local optimism of ICP and its variations can be excluded.
Bayesian Variable Selection and Model Averaging in High-Dimensional Multinomial Nonparametric Regression

This article presents a Bayesian method for estimating nonparametrically a highdimensional multinomial regression model. The regression functions are expressed as sums of main effects and interactions and our approach is able to select the significant components entering the model. Each of the main effects and interactions is written as a linear combination of basis terms with a variance components type prior on the regression coefficients. The conditional class probabilities are estimated using both variable selection and model averaging. Our approach can also be used for classification and gives results that are comparable to modern classification methods, but at the same time the results are highly interpretable to the practitioner. All computation is carried out using Markov chain Monte Carlo simulation.
A vibration energy harvester using a nonlinear oscillator with self-excitation capability

This study concerns a vibration energy harvester of resonance-type with a nonlinear oscillator which can convert the kinetic energy of the vibration source to electric energy effectively in a wide frequency range. The conventional linear harvesters are designed so as to generate larger power by matching the natural frequency of the oscillator to the frequency of the source vibration. The problem is, however, that if the input frequency changes even in a slight amount, the performance of the harvester can become extremely worse because the effective bandwidth of the resonance is quite narrow. In this study, the resonance frequency band of the oscillator is expanded by using a nonlinear oscillator with a nonlinear spring to allow the harvester to generate larger electric power in wider frequency range. However, the nonlinear oscillator can have multiple stable steady-state responses in the resonance band, and it depends on the initial conditions which solution emerges. In this paper, the mechanism of self-excitation is utilized to unstabilize the solutions except for the largest amplitude solution. A charging circuit with a variable resistance which is controlled from negative to positive as a function of the response amplitude is introduced in order to enable the oscillator entrained by the excitation only in the large amplitude solution. Theoretical and numerical analyses are conducted to show that the nonlinear energy harvester with resistance control can respond in large amplitude in wide frequency range, and a significant improvement is achieved in the regenerated power compared with the one without control.
Prevalence of depression and anxiety among myasthenia gravis (MG) patients: A systematic review and meta‐analysis

Myasthenia gravis (MG) people experience adverse psychiatric outcomes, which may impact on their life and disturb their daily activity. Depression and anxiety are identified as significant psychiatric problems that MG people face. However, there is no sufficient epidemiological information about depression and anxiety‐based publication. Due to this limitation, the aim of this study was to review the prevalence of depression and anxiety in MG patients.
A Two-Season Impact Study of the WindSat Surface Wind Retrievals in the NCEP Global Data Assimilation System

Abstract A two-season observing system experiment (OSE) was used to quantify the impacts of assimilating the WindSat surface winds product developed by the Naval Research Laboratory (NRL). The impacts of assimilating these surface winds were assessed by comparing the forecast results through 168 h for the months of October 2006 and March 2007. The National Centers for Environmental Prediction’s (NCEP) Global Data Assimilation/Global Forecast System (GDAS/GFS) was used, at a resolution of T382-64 layers, as the assimilation system and forecast model for these experiments. A control simulation utilizing all the data types assimilated in the operational GDAS was compared to an experimental simulation that added the WindSat surface winds. Quality control procedures required to assimilate the surface winds are discussed. Anomaly correlations (ACs) of geopotential heights at 1000 and 500 hPa were evaluated for the control and experiment during both seasons. The geographical distribution of the forecast impacts .
Gelatin Methacryloyl Granular Hydrogel Scaffolds: High-throughput Microgel Fabrication, Lyophilization, Chemical Assembly, and 3D Bioprinting.

The emergence of granular hydrogel scaffolds (GHS), fabricated via assembling hydrogel microparticles (HMPs), has enabled microporous scaffold formation in situ. Unlike conventional bulk hydrogels, interconnected microscale pores in GHS facilitate degradation-independent cell infiltration as well as oxygen, nutrient, and cellular byproduct transfer. Methacryloyl-modified gelatin (GelMA), a (photo)chemically crosslinkable, protein-based biopolymer containing cell adhesive and biodegradable moieties, has widely been used as a cell-responsive/instructive biomaterial. Converting bulk GelMA to GHS may open a plethora of opportunities for tissue engineering and regeneration. In this article, we demonstrate the procedures of high-throughput GelMA microgel fabrication, conversion to resuspendable dry microgels (micro-aerogels), GHS formation via the chemical assembly of microgels, and granular bioink fabrication for extrusion bioprinting. We show how a sequential physicochemical treatment via cooling and photocrosslinking enables the formation of mechanically robust GHS. When light is inaccessible (e.g., during deep tissue injection), individually crosslinked GelMA HMPs may be bioorthogonally assembled via enzymatic crosslinking using transglutaminases. Finally, three-dimensional (3D) bioprinting of microporous GHS at low HMP packing density is demonstrated via the interfacial self-assembly of heterogeneously charged nanoparticles.
How to grow cubic GaN with low hexagonal phase content on (001) SiC by molecular beam epitaxy

Molecular beam epitaxy (MBE) of cubic GaN on SiC films deposited by chemical vapor deposition on Si has been investigated by reflection high-energy electron diffraction, x-ray diffraction, photoluminescence, and micro-Raman spectroscopy. The wurtzite/zinc-blende ratio, indicative of the material quality, has been found to depend on both the initial substrate roughness and the N/metal ratio impinging on the surface. The results were consistently analyzed by assuming that the MBE growth of cubic GaN is mainly governed by the impinging active N flux, which directly determines the mean-free path of Ga adatoms.Molecular beam epitaxy (MBE) of cubic GaN on SiC films deposited by chemical vapor deposition on Si has been investigated by reflection high-energy electron diffraction, x-ray diffraction, photoluminescence, and micro-Raman spectroscopy. The wurtzite/zinc-blende ratio, indicative of the material quality, has been found to depend on both the initial substrate roughness and the N/metal ratio impinging on the surface. The results were consistently analyzed by assuming that the MBE growth of cubic GaN is mainly governed by the impinging active N flux, which directly determines the mean-free path of Ga adatoms.
Magnetodielectrics in induction motors with disk rotor

The problems associated with the properties, applications, and production of induction motors with disk rotors are presented. The possibility of using magnetodielectrics for production of their magnetic cores is discussed. The construction of a model induction motor containing a magnetodielectric stator in combination with three different rotor configurations is described, and test result for these models are presented. >
Determination of Immunoglobulin E (IgE) in Serum by a Laboratory-Constructed Time-Resolved Fluorescent Nanosphere-Based Immunochromatographic Test Strip

Abstract Allergic diseases (AD) are significant and hence rapid and accurate immunoglobulin E (IgE) determination is critical for diagnosis and treatment. Herein, a rapid, sensitive, and quantitative immunochromatographic test strip was designed for assaying IgE in human serum based on laboratory-constructed time-resolved fluorescent nanospheres (LTRFNs) which have large specific surface areas and multiple carboxyl groups in the outer layer with efficient coupling to the antibodies. Using the stable fluorescence created by the LTRFNs, the test strip accurately quantified IgE for early diagnosis with a detection limit of 4.2 ng/mL. The test strip has a long working range from 8 to 1024 ng/mL, and excellent performance, including high sensitivity, good inter-batch repeatability, and stability. Furthermore, the analysis of 30 clinical serum samples showed good correlation with a commercial chemiluminescence protocol. Therefore, the laboratory-constructed test strip has potential as a novel tool for clinical diagnosis and a rapid home test for allergic diseases.
Evaluating the Perception of Others in a Remote Experience of Interaction: a Pilot Study

The social and physical distancing and the rapid transition to remote learning during pandemics had an impact on children's well-being. In this context, the Human-Computer Interaction (HCI) field envisaged challenges to design and evaluate computational systems. In this paper, we propose an evaluation instrument considering socio-affective aspects of the experience, and present results from a pilot study to evaluate the Aquarela Virtual system. The Aquarela Virtual system allows remotely situated children to interact in a playful way with others by using physical objects related to a children's song, and emoticons to express their emotions. Based on findings of these evaluations, we provide insights on other aspects to be covered by our proposed evaluation instrument, and improvements in the system.
From graphene to graphite: A general tight-binding approach for nanoribbon carrier transport

In an effort to better understand the behavior of graphene, we developed an ab initio parametrized fit of hydrocarbon interactions, out to arbitrary neighbors, including forces. Our computed bands show that ribbons of graphene have increased numbers of zigzag edge states, and decreased armchair band gaps, when multilayered. Armchair ribbons are known to obey three families of gap-to-width relationships; we further find that carrier group velocity ${v}_{F}$ varies by family: small gaps have ideal ${v}_{F}$, and large gaps have $\ifmmode\pm\else\textpm\fi{}20%$ deviations from ideal ${v}_{F}$. Boltzmann carrier transport simulations from calculated phonon scattering show a similar, familial conductance behavior, with peak field-effect mobility and saturated, small-field conductance increasing linearly with ribbon width.
Predicting machine behavior from Google cluster workload traces

Data centers today host a number of computational resources to support the increasing demand for computation and storage. Understanding how these physical and virtual machines transition between different states of operation (referred to as machine lifecycle) enables more efficient data center operation management. Furthermore, it helps data center operators define policies on how new computational resources can be added or existing infrastructure decommissioned. Using Google cluster trace data set version 3 collected from approximately 96 k machines, we analyze machine failure and changes in machine lifecycle over time. We observed that there is a 13% chance of another machine failure under the same network switch within 1 min of the previous machine failure. A Markov chain‐based model is proposed, that can predict machine states at any given time. Using the model and estimated probabilities, we predicted the machine state over a span of several days with a high probability. Using the predicted machine state, we reconstructed the active machines trend and compared this with the trend reported in the data set, observing an error of 1.76%.
Nonparametric test for separability of spatio‐temporal processes

Spatio‐temporal correlated data are quite common in many fields, such as ecology, methereology or environmental science. In this situation, it is important to check the existence of spatio‐temporal interactions or on the contrary, if the spatial and temporal dependence components can be modelled independently. In this work, we propose a testing technique for detecting separability in the spatio‐temporal dependence structure. Our approach is based on the representation of the log‐periodogram as the response variable in a regression model. Within this context, separability can be interpreted as additivity in spatial and temporal frequency components. We also provide some simulation results comparing the performance of the asymptotic test with a marginal integration and a backfitting approach. The testing method is also applied to a real‐data case. Copyright © 2009 John Wiley & Sons, Ltd.
Low Offset Orthogonal Fluxgate Operating in Fundamental Mode.

A method is presented for canceling offset of an orthogonal fluxgate operating in the fundamental mode with dc biased excitation. Offset occurs under the influence of the magnetic anisotropy that is inherent in a wire core. When both the excitation current and dc bias polarities are either positive or negative, the absolute value of the offset is the same but the signs are contrary. The offset can therefore be removed by changing polarities of both excitation current and dc bias periodically to take the mean value. This method can also reduce the input-output hysteresis. Experimental results are shown for a sensor head consisting of a 15-mm-long cobalt-based amorphous wire of 120 μm in diameter and a 300-turn sensing coil formed on the wire.
Steady motion of conducting fluids in pipes under transverse magnetic fields

ABSTRACT This paper studies the steady motion of an electrically conducting, viscous fluid along channels in the presence of an imposed transverse magnetic field when the walls do not conduct currents. The equations which determine the velocity profile, induced currents and field are derived and solved exactly in the case of a rectangular channel. When the imposed field is sufficiently strong the velocity profile is found to degenerate into a core of uniform flow surrounded by boundary layers on each wall. The layers on the walls parallel to the imposed field are of a novel character. An analogous degenerate solution for channels of any symmetrical shape is developed. The predicted pressure gradients for given volumes of flow at various field strengths are finally compared with experimental results for square and circular pipes.
Establishment and mapping of heterogeneous anomalies in network intrusion datasets

Anomaly detection in the scope of network security aims to identify network instances for the unexpected and unique, with various security operations employing such techniques to facilitate effective threat detection. However, many systems have been designed based on the absolute mapping of attacks to one of three anomaly types (i.e. point, collective, or contextual), a strategy not supported by the recent findings of hybrid anomaly classifications. Given the growing usage of network anomaly detection and the implications of hybrid anomalies, we propose several heterogeneous anomaly types and provide an unsupervised approach for the automated mapping of network threats. Initial findings on publicly available intrusion datasets support the existence of four unique heterogeneous anomaly types, providing unique insight regarding the next generation of network anomaly detection systems.
Gaze Estimation em Atividades de Ensino Digitais Utilizando Convolutional Neural Networks e Webcam

A área da educação possui desafios devido à variedade de aptidões e restrições dos estudantes. Para inovar o ensino, é necessário desenvolver alternativas que incrementem as propostas atuais. Uma das técnicas existentes na literatura é o gaze estimation, que permite visualizar o comportamento ocular ao realizar atividades no computador. Usualmente esta técnica é realizada com o uso de produtos comerciais ou métodos pouco acessíveis. Este trabalho propõe uma metodologia de baixo custo para realizar gaze estimation e identificar regiões de interesse do olhar do estudante em atividades educacionais, com uso de redes neurais convolucionais e webcam. Observa-se potencial do método no desenvolvimento de ferramentas aplicáveis a educação.
Long‐Term High‐Resolution Gauge Adjusted Satellite Rainfall Product Over India

This study aims to create a 21‐year, high spatiotemporal resolution Global Satellite Mapping of Precipitation (GSMaP) rainfall product adjusted by rain gauge measurements over the Indian mainland and highlighted the importance of the Indian Meteorological Department (IMD) daily gridded rainfall to generate gauge adjusted GSMaP rainfall products over Indian landmass. The targeted resolutions of the GSMaP are hourly and 0.1° × 0.1°. The National Oceanic and Atmospheric Administration Climate Prediction Center daily gauge analysis (0.5° × 0.5°) and IMD daily gridded rainfall (0.25° × 0.25°) were utilized to generate long‐term rainfall products, GSMaP_CPC and GSMaP_IMD rainfall, respectively. After preliminary verification of the GSMaP_CPC and GSMaP_IMD rainfalls with IMD gauges, these rainfall products are evaluated for the Indian Summer Monsoon periods of 2000–2020 with comparisons of other gauge adjusted rainfall products such as the Integrated Multi‐satellitE Retrievals for Global Precipitation Measurement final‐run. The results suggest GSMaP_IMD has a smaller root‐mean‐square difference (RMSD) and higher correlation than GSMaP_CPC, evaluated against independent rainfall products. In the 3‐hour mean analysis with spaceborne precipitation radar data, it is found that the value of RMSD decreases in GSMaP_IMD with respect to GSMaP_CPC throughout the day. The statistics against the hourly dense gauge network suggests that the GSMaP_IMD is more effective in capturing large spatiotemporal rainfall variation. Thus, validation results with the independent sources suggest that GSMaP_IMD rainfall generally improved over GSMaP_CPC rainfall. These improvements are significant in orographic regions with high rainfall amounts, mainly the western Ghats and northeastern parts of India.
Impact of faecal haemoglobin based triage of bowel symptoms presenting to primary care on colorectal cancer diagnosis

Faecal immunochemical testing (FIT) for faecal haemoglobin was introduced into primary care in National Health Service Tayside in 2015 as an adjunct to clinical assessment of new bowel symptoms. We aimed to assess the impact of FIT‐based triage in primary care on colorectal cancer (CRC) diagnosis.
Design and hybrid impedance control of a new compliant wrist rehabilitation device

Over a decade, wrist rehabilitation robots have been proved to be efficient in the rehabilitation of patients with stroke or wrist injuries. Wrist rehabilitation devices compensate for deficiencies in manual rehabilitation training and reduce the workload of physiotherapists with their repetitive and gradual training necessary to rehabilitate patients with wrist impairments properly. Two design approaches have been reported in literature for wrist rehabilitation robotic devices. In one design approach, the strategy of placing the actuators, either linear or rotary, on the forearm to minimise the weight and inertia has been proposed. This necessitates a use of sophisticated transmission systems. In the other design approach, rotary motors have been proposed to be placed directly on the wrist joints, which results in a high weight and inertia. In this paper, a new 2-DOF compliant wrist rehabilitation device that can achieve the flexion-extension and radial-ulnar rehabilitation movements compliantly is proposed. In the proposed design, two series elastic actuators (SEAs), each consists of a servomotor and a custom-designed series elastic unit, are proposed to be placed directly on the wrist joints. In order to minimise the inertia and the required torques, the device is counterweight balanced by optimising the centre of mass of the device in the SolidWorks model. Based on the device dynamics modelled by ADAMS software, hybrid position and force tracking impedance control with the incorporation of a disturbance observer controller for the rotary SEA is developed for position and force tracking through the different therapeutic exercises. The disturbance observer controller is incorporated for high precision force control and robustness against exogenous disturbances. Simulation results demonstrate high performance of the proposed wrist rehabilitation device in terms of precise position and force trajectories tracking and robustness against exogenous disturbance as well as patient safety during all therapeutic exercises.
Solar Convection-Zone Dynamics, 1995-2004

The nine-year span of medium-degree helioseismic data from the Global Oscillation Network Group (GONG) and the Michelson Doppler Imager (MDI) allows us to study the evolving zonal flows in the solar convection zone over the rising phase, maximum, and early declining phase of solar cycle 23. Using two independent two-dimensional rotation inversion techniques, we investigate the depth profile of the flow pattern known as the torsional oscillation. The observations suggest that the flows penetrate deep within the convection zone—perhaps to its base—even at low latitudes, and that the phase of the pattern is approximately constant along lines of constant rotation rather than lines of constant latitude.