Miracle-dz/UniFAR-FTUs huggingface dataset:
Validating Existing Scales for Identification of Acute Stroke in an Inpatient Setting

Background and Purpose A significant proportion of strokes occur while patients are hospitalized for other reasons. Numerous stroke scales have been developed and validated for use in pre-hospital and emergency department settings, and there is growing interest to adapt these scales for use in the inpatient setting. We aimed to validate existing stroke scales for inpatient stroke codes. Methods We retrospectively reviewed charts from inpatient stroke code activations at an urban academic medical center from January 2016 through December 2018. Receiver operating characteristic analysis was performed for each specified stroke scale including NIHSS, FAST, BE-FAST, 2CAN, FABS, TeleStroke Mimic, and LAMS. We also used logistic regression to identify independent predictors of stroke and to derive a novel scale. Results Of the 958 stroke code activations reviewed, 151 (15.8%) had a final diagnosis of ischemic or hemorrhagic stroke. The area under the curve (AUC) of existing scales varied from . 465 (FABS score) to . 563 (2CAN score). Four risk factors independently predicted stroke: (1) recent cardiovascular procedure, (2) platelet count less than 50 × 109 per liter, (3) gaze deviation, and (4) presence of unilateral leg weakness. Combining these 4 factors into a new score yielded an AUC of . 653 (95% confidence interval [CI] .604-.702). Conclusion This study suggests that currently available stroke scales may not be sufficient to differentiate strokes from mimics in the inpatient setting. Our data suggest that novel approaches may be required to help with diagnosis in this unique population.
The Effect of Service Quality and the Mediating Role of Customer Satisfaction for Improving Service Loyalty in Hospital (Case Study on Annisa Hospital in Bogor Regency)

Many of the industrial sectors have been affected by the covid-19 pandemic, such as health industry. Hospital is one of the health facilities that is needed by the public. West Java is an area that has been highly affected by this pandemic. To compete with others, Annisa Hospital must be ready to maintain their good services to patient and always controlling their performance day by day. Also, with provide great service quality will lead to customer satisfaction and maintain service loyalty. The research using 3 variables such as service loyalty(X), customer satisfaction(Z) as mediator, and service loyalty(Y). This research has proposed to see (1) the effect of service quality on customer satisfaction, (2) the effect of service quality on service loyalty, and (3) the effect of customer satisfaction on service loyalty. This research using quantitative method to collect the data, determined by 200 respondents as a sample. The data will be analyzed with path analysis and calculated with IBM SPSS Statistics. The result of this research found that there is indirect effect between service quality on service loyalty through customer satisfaction have a positive and significant effect with the p-value (0.000 <0.050), with a coefficient obtained of 0.248. The result has a significance value that (0,200 > 0.05) which means is normally distributed. Meanwhile the path analysis result on the effect of service quality on service loyalty through customer satisfaction obtain a significance value (p-value) smaller than α (<0.05). This research has a conclusion that Annisa hospital must maintain their service quality to created customer satisfaction and develop service loyalty.
High-Ionization Nuclear Emission-Line Region in the Seyfert Galaxy Tololo 0109−383

We present a detailed optical spectroscopic analysis of the high-ionization Seyfert galaxy Tololo 0109-383, which was classified originally as a type 2 Seyfert nucleus. The high-ionization nuclear emission-line region (HINER) (traced by e.g., [Fe X] λ6374) of this galaxy is found to be spatially extended. Although the total radial extent of the HINER amounts to ∼1.1 kpc, ∼70% of the HINER emission is concentrated in the inner 220 pc in radius. The inner HINER in Tololo 0109-383 can be interpreted by the photoionization model of Ferguson, Korista, & Ferland, while the extended HINER suggests that low-density interstellar medium is also photoionized by high-energy continuum emission as described by Korista & Ferland. We find an extended low-ionization emission line region traced by Hα, [N II], and [S II] emission lines with very narrow widths (<200 km s-1) at ∼2.2 kpc east of the nucleus. This region is characterized by (1) the observed [N II]/Hα ratio, which is ∼0.8; (2) no measurable [O III] emission; and (3) a low ionization parameter, U ∼ 6 × 10-5. These properties can also be interpreted in terms of a photoionization model. As well as confirmation of the presence of broad emission in both Hα and Hβ lines, we also find optical Fe II emission features in our spectra. Since the optical Fe II emission is one of the important characteristics of type 1 active galactic nuclei, it is shown that Tololo 0109-383 harbors a type 1 central engine in its nucleus. Since the soft X-ray–to–infrared (60 μm) luminosity ratio of Tololo 0109-383 is higher than those of typical type 2 Seyfert nuclei, we consider that blocking by a dusty torus may be incomplete and thus we are able to observe the type 1 nature of Tololo 0109-383.
Computations for a jet impinging obliquely on a flat surface

A SIMPLE-C algorithm and Jones-Launder k-e two-equation turbulence model are used to simulate a two-dimensional jet impinging obliquely on a flat surface. Both the continuity and momentum equations for the unsteady state are cast into suitable finite difference equations. The pressure, velocity, turbulent kinetic energy and turbulent energy dissipation rate distributions are solved and show good agreement with various experimental data. The calculations show that the flow field structure of the jet impinging obliquely on a flat surface is strongly affected by the oblique impingement angle. The maximum pressure zone of the obliquely impinging jet flow field moves towards the left as the oblique impingement angle is decreased.
On the convergence of the iterative A-BEM formulation for 2-D nonlinear eddy currents

In this paper the convergence of the iterative BEM formulation for the 2-D nonlinear eddy current problems, in which both location and time dependency of permeability are considered, is investigated. An adaptively damped iteration method with incremental loading technique and adaptive starting is proposed, by which a good convergence of the iterative BEM formulation can be ensured. >
The wolf and the city: insights on wolves' conservation in the anthropocene

After a long period of human persecution that led it to extinction in most of its distribution range, the wolf is undergoing a fast recovery. Despite being described as an elusive species only living in remote areas, wolves are recently occupying also human‐dominated landscapes, increasing the frequency of direct contacts with humans. Nevertheless, it is unclear whether this situation is only caused by a numerical increase or partially facilitated by a higher tolerance of wolves with respect to human proximity. We focused on a European region offering an abundant, widespread and long‐term monitored wolf population to analyse wolf pack distribution and its relationship with human presence across areas recolonized across four different time periods (1972, 1996, 2005 and 2016). Throughout areas recolonized during different periods, wolves were initially located in mountains and hills, occupying plains only in the recent past. Although they consistently tended to be located as far as possible from urban settlements, especially from those with over 5000 inhabitants, in 2016, 70% of packs included at least one urban settlement within the expected home range. Moreover, the distance kept by wolves from the nearest urban settlement was more constrained in areas of recent recolonization (2005 and 2016) and in the mountainous altitudinal range, likely due to a reduced availability of territories. We showed that wolves tend to keep as far away as possible from humans, but they can also permanently occupy human‐dominated landscapes to cope with the lower availability of space induced by their remarkably successful recolonization. Our results shed light on an upcoming scenario for the conservation of large carnivores.
Coplanar superconducting resonators with nonlinear kinetic inductance bridge

We present a model and experimental realization of coplanar superconducting resonators terminated by a shunting kinetic inductance bridge made of ultra-thin Al films. The fabrication process that we propose allows us to create very homogeneous films, which makes them suitable for many applications in quantum devices. Due to the specific properties of the films, the resonators exhibit a Duffing oscillator behavior resulting in bifurcations and interactions between different power sources, which was previously observed in similar systems. Moreover, since the nonlinearity of such a system is concentrated at the bridge, while the wave propagates in a linear environment, it is possible to propose a simple model that accurately describes its behavior. We show that, when resonators are operated within a notch-port architecture, our model has a closed-form solution for the transmission coefficient and allows one to accurately extract parameters of the system, including the kinetic inductance of the bridge and its depairing current. Potential applications of such systems include tunable resonators, photon detectors, bifurcation and parametric amplifiers, as well as a measurement device for studying the properties of thin films.
Closed-form solutions for one-dimensional inhomogeneous anisotropic medium in a special case. II. Inverse scattering problem

For pt. I see ibid., vol.45, no.5, p.936, 1997. An analytical method is presented for the inverse scattering problem of a one-dimensional (1-D) inhomogeneous anisotropic medium in a special case. Using the closed-form formulations for the reflection coefficients derived in the first part of this paper, reconstruction formulas are obtained for the wave impedance profiles, permittivity profiles or permeability profiles of the anisotropic medium, all of which are given in closed form. In the meantime, a partial inverse scattering method for the electric parameters at the interface of the medium with free space is also investigated by using a Wedtzel-Kramers-Brillouin (WKB) approximation. Numerical examples show the validity of the methods.
Coupling of Mn2O3 with Heteroatom-Doped Reduced Graphene Oxide Aerogels with Improved Electrochemical Performances for Sodium-Ion Batteries

Currently, efforts to address the energy needs of large-scale power applications have expedited the development of sodium–ion (Na–ion) batteries. Transition-metal oxides, including Mn2O3, are promising for low-cost, eco-friendly energy storage/conversion. Due to its high theoretical capacity, Mn2O3 is worth exploring as an anode material for Na-ion batteries; however, its actual application is constrained by low electrical conductivity and capacity fading. Herein, we attempt to overcome the problems related to Mn2O3 with heteroatom-doped reduced graphene oxide (rGO) aerogels synthesised via the hydrothermal method with a subsequent freeze-drying process. The cubic Mn2O3 particles with an average size of 0.5–1.5 µm are distributed to both sides of heteroatom-doped rGO aerogels layers. Results indicate that heteroatom-doped rGO aerogels may serve as an efficient ion transport channel for electrolyte ion transport in Mn2O3. After 100 cycles, the electrodes retained their capacities of 242, 325, and 277 mAh g−1, for Mn2O3/rGO, Mn2O3/nitrogen-rGO, and Mn2O3/nitrogen, sulphur-rGO aerogels, respectively. Doping Mn2O3 with heteroatom-doped rGO aerogels increased its electrical conductivity and buffered volume change during charge/discharge, resulting in high capacity and stable cycling performance. The synergistic effects of heteroatom doping and the three-dimensional porous structure network of rGO aerogels are responsible for their excellent electrochemical performances.
Sixteen-year trends in multiple lifestyle risk behaviours by socioeconomic status from 2004 to 2019 in New South Wales, Australia

Few studies have examined trends in inequalities related to lifestyle risk behaviours. This study examined 1) 16-year (2004–2019) trends of individual lifestyle risk factors and a combined lifestyle risk index and 2) trends in socioeconomic inequalities in these risk factors, in New South Wales (NSW; Australia) adults. Data was sourced from the NSW Adult Population Health Survey, an annual telephone survey of NSW residents aged ≥16 years, totalling 191,905 completed surveys. Excessive alcohol consumption, current smoking, insufficient physical activity, insufficient fruit and/or vegetable consumption, sugar-sweetened beverage [SSB] consumption, and a combined lifestyle risk index (overall high-risk lifestyle defined as total number of lifestyle risk behaviours ≥2) were examined. Socioeconomic status was assessed using education attainment, postal area-level disadvantage measured by Index of Relative Socioeconomic Disadvantage (IRSD), and remoteness based on Accessibility-Remoteness Index of Australia Plus (ARIA+). Socioeconomic inequalities were examined as prevalence difference for absolute inequalities and prevalence ratio for relative inequalities. The prevalence of lifestyle behaviours by levels of each socioeconomic status variable were estimated using predicted probabilities from logistic regression models. After adjusting for covariates, there was a decrease in prevalence over time for most lifestyle risk behaviours. Between 2004 and 2019, the prevalence decreased for current smoking from 21.8% to 17.1%, insufficient physical activity from 39.1% to 30.9%, excessive alcohol consumption from 15.4% to 13.7%, daily SSB consumption from 29.9% to 21.2%, and overall high-risk lifestyle from 50.4% to 43.7%. Socioeconomic inequalities, based on one or more of the socioeconomic variables, increased over time for current smoking, insufficient physical activity, daily SSB consumption, and an overall high-risk lifestyle. Overall, the health behaviours of the NSW population improved between 2004 and 2019. However, some socioeconomic inequalities increased during this time, highlighting the need for effective public health strategies that seek to improve health behaviours among the most socioeconomically disadvantaged.
Advances in DNA, histone, and RNA methylation mechanisms in the pathophysiology of alcohol use disorder

Alcohol use disorder (AUD) has a complex, multifactorial etiology involving dysregulation across several brain regions and peripheral organs. Acute and chronic alcohol consumption cause epigenetic modifications in these systems, which underlie changes in gene expression and subsequently, the emergence of pathophysiological phenotypes associated with AUD. One such epigenetic mechanism is methylation, which can occur on DNA, histones, and RNA. Methylation relies on one carbon metabolism to generate methyl groups, which can then be transferred to acceptor substrates. While DNA methylation of particular genes generally represses transcription, methylation of histones and RNA can have bidirectional effects on gene expression. This review summarizes one carbon metabolism and the mechanisms behind methylation of DNA, histones, and RNA. We discuss the field’s findings regarding alcohol’s global and gene-specific effects on methylation in the brain and liver and the resulting phenotypes characteristic of AUD.
Distinctions between Choroidal Neovascularization and Age Macular Degeneration in Ocular Disease Predictions via Multi-Size Kernels ξcho-Weighted Median Patterns

Age-related macular degeneration is a visual disorder caused by abnormalities in a part of the eye’s retina and is a leading source of blindness. The correct detection, precise location, classification, and diagnosis of choroidal neovascularization (CNV) may be challenging if the lesion is small or if Optical Coherence Tomography (OCT) images are degraded by projection and motion. This paper aims to develop an automated quantification and classification system for CNV in neovascular age-related macular degeneration using OCT angiography images. OCT angiography is a non-invasive imaging tool that visualizes retinal and choroidal physiological and pathological vascularization. The presented system is based on new retinal layers in the OCT image-specific macular diseases feature extractor, including Multi-Size Kernels ξcho-Weighted Median Patterns (MSKξMP). Computer simulations show that the proposed method: (i) outperforms current state-of-the-art methods, including deep learning techniques; and (ii) achieves an overall accuracy of 99% using ten-fold cross-validation on the Duke University dataset and over 96% on the noisy Noor Eye Hospital dataset. In addition, MSKξMP performs well in binary eye disease classifications and is more accurate than recent works in image texture descriptors.
Activation analyses of air by deuteron beam at 5-9 MeV

A construction of accelerator-based neutron irradiation facility is required to develop materials for a demonstration fusion reactor. To obtain a 14 MeV neutron energy using the neutron-generating D-Li stripping reaction, an injection into liquid lithium flow by a 40 MeV deuteron beam is employed in IFMIF design concept. In the acceleration of deuteron beam, the activation due to the beam loss is a critical issue. The activation analyses for the air in an accelerator vault are performed by PHITS code and DCHAIN code in the first step, using the experimental data for deuteron induced thick target neutron yield at 5 MeV and 9 MeV as source term and a simple model of the 1 m-long beam duct. For the 9 MeV-1 μA beam loss,
Direct modelling of subgrid scales of turbulence in large eddy simulations

Subgrid scale (SGS) models for large eddy simulations of turbulent flows fall into two general categories. One category consists of the models that provide expressions for the SGS terms such as a stress tensor or a heat flux and usually employ eddy viscosity concepts. The other category models the unresolved primitive variables such as a velocity or a temperature and the SGS stresses are secondary quantities that are computed directly from the definitions. We discuss the fundamentals of the latter category of SGS models and review several specific approaches, including the defiltering or deconvolution procedures and various estimation models.
Merging multiple views using a spherical representation

This paper proposes a new method for building a 3-D model from a set of range images. The method can merge data of free-form surfaces obtained from arbitrary viewing directions, with no prior knowledge of the poses. Our approach is based on matching the spherical representations of an object between the views. To obtain the spherical representation, we deform a discrete mesh to fit the object surface. A variation of the Gaussian curvature metric, which we call simplex angle, is computed at each node on the deformed mesh and mapped to a coordinate on the unit sphere. The transformation of the objects is computed by comparing the simplex angle measure at each node on the unit sphere. The transformation which produces the minimum errors is selected as the best match. We have implemented this method, applied the method to range images of objects from arbitrary viewpoints, and demonstrated the applicability for modeling from observation. <<ETX>>
Turbulence Modeling Experience in Ducts with Forced Convection Flow

The performance of a turbulence model in predicting the flow fields and temperature fields of relevant industrial problems has become increasingly important during the last few years. This is also valid for turbulent duct flow, which occurs frequently in many industrial applications such as compact heat exchangers and gas turbine cooling systems. This study presents a general computational method for calculating turbulent quantities in arbitrary three-dimensional ducts. Four different turbulence models for the turbulent Reynolds stresses are compared, namely, a standard {Kappa}-{epsilon} model, a nonlinear {Kappa}-{epsilon} model, an explicit algebraic stress model (EASM), and a full Reynolds stress model (RSM). The turbulent heat fluxes are modeled by the simple eddy diffusivity concept, the generalized gradient diffusion hypothesis, and the wealth {alpha} earnings {times} time methods. A finite volume technique for nonstaggered grids combined with the SIMPLEC algorithm is applied. A modified strongly implicit procedure is implemented for solving the equations. The van Leer scheme is applied for the convective terms except for the {Kappa} and {epsilon} equations, where the hybrid scheme is used.
Multi-Lexicon Classification and Valence-Based Sentiment Analysis as Features for Deep Neural Stock Price Prediction

The goal of the work is to enhance existing financial market forecasting frameworks by including an additional factor–in this example, a collection of carefully chosen tweets—into a long-short repetitive neural channel. In order to produce attributes for such a forecast, this research used a unique attitude analysis approach that combined psychological labelling and a valence rating that represented the strength of the sentiment. Both lexicons produced extra properties such 2-level polarization, 3-level polarization, gross reactivity, as well as total valence. The emotional polarity explicitly marked into the database contrasted well with outcomes of the innovative lexicon approach. Plotting the outcomes of each of these concepts against actual market rates of the equities examined has been the concluding step in this analysis. Root Mean Square Error (RMSE), preciseness, as well as Mean Absolute Percentage Error (MAPE) were used to evaluate the results. Across most instances of market forecasting, attaching an additional factor has been proven to reduce the RMSE and increase the precision of forecasts over lengthy sequences.
Humidity sensing using plastic optical fibers

The use of plastic optical fibers (POFs), curved at the sensing point and coated with cobalt chloride (CoCl2) and gelatin as the overlay material, for relative humidity sensing is demonstrated in this paper. The fiber‐core diameter and bending radius of the sensing point affects the sensitivity of the sensor to a great extent. © 2004 Wiley Periodicals, Inc. Microwave Opt Technol Lett 43: 387–390, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20479
Super Twisting Sliding Mode Control with Compensated Current Controller Dynamics on Active Magnetic Bearings with Large Air Gap

Due to their unique properties, like no mechanical contact and therefore no wear and no lubrication needed, Active Magnetic Bearings (AMBs) have been a dynamic field of research in the past decades. The high non-linearities of AMBs generate many challenges for the control of the otherwise unstable system, thus they need to be addressed to deliver the performance that modern applications require. Integrating the current controller dynamics into the model of a position controller in a cascading control loop helps to improve the performance of the control loop compared to a plain current controlled schema. Further, this nested control loop guarantees the predefined current dynamics of the current controller, tuned according to an industrial criterion. The systems dynamics are modelled and the proposed controller is validated experimentally on a physical test bench. The experimental results show a performant position control with a nested and explicit current controller on an AMB, even with a large air gap and star-connected coils. The trajectory range of the rotor was reduced by 87% to ±20 μm, compared to a plain current-controlled model. The proposed control strategy lays the foundation for further research, especially concerning sensorless position estimation techniques since these usually have limited bandwidth and benefit from a predefined current dynamic.