Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge, attitude and practice of menstrual hygiene among nursing students in a rural medical college

Introduction: Menstruation despite being a natural process is with several misconceptions and false practices, resulting in adverse health outcomes. Nurses are bridge between patient and medical profession. Hence present study was undertaken to assess knowledge, attitude and practice of menstrual hygiene among first year nursing students. Methods: Cross-sectional study conducted among 100 nursing students from June 2017 to August 2017. Participants were interviewed and data collected, analyzed using Statistical Package for Social Sciences and results expressed in frequency and percentages. Results: 78% of students were aware of the menstruation. 48% felt discomfort at the time of menarche. 85/100 students had one or more restrictions during menstruation. 74% of them used sanitary pads during menstruation and 65% of those who used sanitary pads discarded them in dustbin and 16% of them burnt it. Conclusions: From this study we found that knowledge and practices regarding menstruation is satisfactory, still education about menstrual hygiene need to be imparted at the grass root level. Health care workers, teachers and media can play a major role in hygienic menstrual practices.
Relationship between sonorheometry parameters and laboratory values in a critical care setting: a preliminary retrospective study

Purpose: This preliminary retrospective study analyzed the relationship between the parameters provided by sonorheometry device Quantra and the coagulation values obtained from standard venous blood samples in patients admitted in intensive care unit (ICU). Methods: We reviewed medical charts of 13 ICU adult patients in whom at least one coagulation study with Quantra was performed. The relationship between Quantra and laboratory data was analyzed with the Spearman rank correlation coefficient (rho). The 95% confidence interval (CI) was computed. A P-value <0.05 was considered statistically significant. Results: We collected 28 data pairs. Statistically significant moderate correlations were found for the following parameters: clot time (CT) and activated partial thromboplastin time (rho=0.516; 95% CI, 0.123–0.904; P=0.009; clot stiffness (CS) and the international normalized ratio (INR; rho=0.418; 95% CI, 0.042–0.787; P=0.039); INR and platelet contribution to CS (rho=0.459; 95% CI, 0.077– 0.836; P=0.022); platelet count and platelet contribution to CS (PCS; rho=0.498; 95% CI, 0.166– 0.825; P=0.008); and fibrinogen and fibrinogen contribution to CS (FCS; rho=0.620; 95% CI, 0.081– 0.881; P=0.001). Conclusions: Quantra can provide useful information regarding coagulation status, showing modest correlations with the parameters obtained from laboratory tests. During diffuse bleeding, CT and FCS values can guide the proper administration of clotting factors and fibrinogens. However, the correlation of INR with CS and PCS can cause misinterpretation. Further studies are needed to clarify the relationship between Quantra parameters and laboratory tests in the critical care setting and the role of sonorheometry in guiding targeted therapies and improving outcomes.
Risk Aversion and Investment Intentions of Filipino Investors: A Moderation Study

A survey was conducted amongst a sample of Filipino retail investors residing in NCR. All at the ages of 21-60 with at least 1 year of investing experience in the Philippine stock market and cryptocurrency market. Risk Aversion, Long Term Investment Intention (LTII), and Short Term Investment Intention (STII) are the variables that were measured using Risk Aversion Scale and Investment Intentions Scale and moderation analysis of the setting of stocks and cryptocurrency was done. The study showed significant correlation of Risk Aversion and STII in the setting of cryptocurrency. The data manifested significant moderation in Risk Aversion and LTII in the setting of stock investing and Risk Aversion and STII in the setting of cryptocurrency investing.
FNS: an event-driven spiking neural network framework for efficient simulations of large-scale brain models

Limitations in processing capabilities and memory of today's computers make spiking neuron-based (human) whole-brain simulations inevitably characterized by a compromise between bio-plausibility and computational cost. It translates into brain models composed of a reduced number of neurons and a simplified neuron's mathematical model. Taking advantage of the sparse character of brain-like computation, eventdriven technique allows us to carry out efficient simulation of large-scale Spiking Neural Networks (SNN). The recent Leaky Integrate-and-Fire with Latency (LIFL) spiking neuron model is event-driven compatible and exhibits some realistic neuronal features, opening new horizons in whole-brain modelling. In this paper we present FNS, a LIFL-based exact event-driven spiking neural network framework implemented in Java and oriented to wholebrain simulations. FNS combines spiking/synaptic whole-brain modelling with the event-driven approach, allowing us to define heterogeneous modules and multi-scale connectivity with delayed connections and plastic synapses, providing fast simulations at the same time. A novel parallelization strategy is also implemented in order to further speed up simulations. This paper presents mathematical models, software implementation and simulation routines on which FNS is based. Finally, a reduced brain network model (1400 neurons and 45000 synapses) is synthesized on the basis of real brain structural data, and the resulting model activity is compared with associated brain functional (source-space MEG) data. The conducted test shows a good matching between the activity of model and that of the emulated subject, in outstanding simulation times (about 20s for simulating 4s of activity with a normal PC). Dedicated sections of stimuli editing and output synthesis allow the neuroscientist to introduce and extract brain-like signals, respectively.
Comparison of the polarisation of line and continuum emission in a laser produced plasma

Anisotropic emission from a laser-produced aluminium plasma emission has been studied using time and polarisation resolved spectroscopy. The time-resolved degree of polarisation of emission from a bound – bound transition in Al+ (466.3 nm) was compared to the time-resolved degree of polarisation from nearby continuum emission. The results are interpreted in the framework of radiative recombination and statistical imbalances in the populations of magnetic sub-states. It is found that the continuum emission is more strongly polarised than the line emission. Thus, this technique is a valid alternative to gated LIBS.
Asymptotic profile of solutions for the damped wave equation with a nonlinear convection term

This paper is concerned with the large time behavior of solutions to the initial value problem for the damped wave equations with nonlinear convection in one‐dimensional whole space. In 2007, Ueda and Kawashima showed that the solution tends to a self similar solution of the Burgers equation. However, they did not mention that their decay estimate is optimal or not. Under this situation, the aim of this paper was to find out the sharp decay estimate by studying the second asymptotic profile of solutions. The explicit representation formula and the decay estimates of the solution for the linearized equation including the lower order term play crucial roles in our analysis.
Degree of technification of the sheep herd may be associated with seropositivity for the maedi-visna virus In South Brasil

Maedi-Visna (MV) is a chronic progressive multisystem disease that may be asymptomatic for several months or years, but progress rapidly, and may result in death, when signs and symptoms evolve. Viral elimination occurs mainly through direct contact with positive animal secretions. There is no vaccine or treatment, and prophylaxis is necessary for the health of the herd. The present study aimed to verify the seropositivity of MV and evaluate the factors associated with the risk in sheep herds in Paraná. A total of 1549 serum samples were collected from 90 properties. An epidemiological questionnaire was applied to each property, and the variables were analyzed using the Epi-info program and R environment. Of the 1549 samples analyzed, 22 were positive (1.4%) for the micro-AGID test in 13.3% of the properties. Our study demonstrated variables associated with the prevention and the risk of seropositivity to MVV. Conducting a breeding season, supplying concentrated feed, and separating the breeding stock before birth were factors associated with protection, whereas the previous occurrence of problems with lice, breeding on pasture, and keeping cats close to the flock were factors associated with risk. The seropositivity observed in the present study suggests the circulation of MVV in sheep herds in Paraná, which reinforces the need to implement prevention and control measures since the level of technification may be associated with the occurrence of anti-MVV antibodies in herds.
Impact of Hidden Curriculum on Ethical and Aesthetic Values of Sixth Graders in Tafila Directorate of Education

The present research attempts to investigate the impact of the hidden curriculum on ethical and aesthetic values of sixth graders in Tafila Directorate of education. It also, aims at counting the means and differences between the grades of the positive effects and the grades of the negative effects of both ethical and aesthetic values of the students. However, the researchers use descriptive analytical method to answer the questions of the study. The instruments of the study were actually two questionnaires, one for ethical values and the other for aesthetic values. The sample of the study was 120 students chosen randomly to match the study’s objectives. The results reveal noticeable statistical differences (α=05) between the means of the positive values effects and the means of the negative values effects. It also reveals statistical differences ( F α=05) in the means of the positive aesthetic values and means of negative aesthetic values in favor of positive values.
Adaptive non‐singular integral terminal sliding mode tracking control for autonomous underwater vehicles

This study proposes an adaptive non-singular integral terminal sliding mode control (ANITSMC) scheme for trajectory tracking of autonomous underwater vehicles (AUVs) with dynamic uncertainties and time-varying external disturbances. The ANITSMC is first proposed for a first-order uncertain non-linear dynamic system to eliminate the singularity problem in conventional terminal sliding mode control (TSMC) and avoid the requirement of the bound information of the lumped system uncertainty. The time taken to reach the equilibrium point from any initial error is guaranteed to be finite. The proposed ANITSMC is then applied to trajectory tracking control of AUVs. It guarantees that the velocity tracking errors locally converge to zero in finite time and after that the position tracking errors locally converge to zero exponentially. The designed ANITSMC of AUVs avoids the requirement of the prior knowledge of the lumped system uncertainty bounds as opposite to the existing globally finite-time stable tracking control (GFTSTC), provides higher tracking accuracy than the existing GFTSTC and adaptive non-singular TSMC (ANTSMC) and offers faster convergence rate and better robustness against dynamic uncertainties and time-varying external disturbances than the adaptive proportional-integral sliding mode control (APISMC). Comparative simulation results are presented to validate the superiority of the ANITSMC over the APISMC.
Spin Hall effect in two-dimensional systems within the relativistic phase shift model

Recently, a relativistic phase shift model (RPSM) was introduced [D. V. Fedorov et al., Phys. Rev. B 88, 085116 (2013)] to describe the skew-scattering mechanism of the spin Hall effect caused by impurities in bulk crystals. Here, we present its analog derived for two-dimensional (2D) systems. The proposed 2D-RPSM is applied to one-monolayer noble-metal films with various substitutional impurities and the obtained results are compared with those of corresponding first-principles calculations. We demonstrate that, in contrast to the three-dimensional RPSM, the considered model does not provide a sufficient qualitative description of the transport properties. Therefore, an ab initio treatment is necessary for the description of the spin Hall effect in two-dimensional crystals.
Study on isolation improvement between closely‐packed patch antenna arrays based on fractal metamaterial electromagnetic bandgap structures

A decoupling metamaterial (MTM) configuration based on fractal electromagnetic-bandgap (EMBG) structure is shown to significantly enhance isolation between transmitting and receiving antenna elements in a closely-packed patch antenna array. The MTM-EMBG structure is cross-shaped assembly with fractal-shaped slots etched in each arm of the cross. The fractals are composed of four interconnected-`Y-shaped' slots that are separated with an inverted-`T-shaped' slot. The MTM-EMBG structure is placed between the individual patch antennas in a 2 × 2 antenna array. Measured results show the average inter-element isolation improvement in the frequency band of interest is 17, 37 and 17 dB between radiation elements #1 & #2, #1 & #3, and #1 & #4, respectively. With the proposed method there is no need for using metallic-via-holes. The proposed array covers the frequency range of 8-9.25 GHz for X-band applications, which corresponds to a fractional-bandwidth of 14.5%. With the proposed method the edge-to-edge gap between adjacent antenna elements can be reduced to 0. 5λ 0 with no degradation in the antenna array's radiation gain pattern. Across the array's operating band, the measured gain varies between 4 and 7 dBi, and the radiation efficiency varies from 74.22 and 88.71%. The proposed method is applicable in the implementation of closely-packed patch antenna arrays used in SAR and MIMO systems.
A descriptive study to assess the level of knowledge on management of minor ailments among Primi Gravida Mothers

The present aim was to determine the existing level of knowledge on management of minor ailments among primigravida mothers who attended antenatal clinic at Saveetha Medical College And Hospital. A quantitative approach with descriptive research design was adopted for the present study. 60 antenatal mothers among which (n=60) were selected by using non probability purposive sampling technique. A self-structured questionnaire method was used to collect both the demographic data and the existing level of knowledge on management of minor ailments during pregnancy among Primi Gravida Mothers. Among 60 study participants, the mean score on existing level of knowledge on management of minor ailments among Primi Gravida Mothers was found to be 17.53 with standard deviation of 3.59. Hence the findings of present study concluded that, primigravida mothers had a good level of knowledge on management of minor ailments during pregnancy period.
Military Space Mission Design and Analysis in a Multi-Body Environment: An Investigation of High-Altitude Orbits as Alternative Transfer Paths, Parking Orbits for Reconstitution, and Unconventional Mission Orbits

Abstract : High-altitude satellite trajectories are analyzed in the Earth-Moon circular restricted three-body problem. The equations of motion for this dynamical model possess no known closed-form analytical solution; therefore, numerical methods are employed. To gain insight into the dynamics of high-altitude trajectories in this multi-body dynamical environment, periapsis Poincare' maps are generated at particular values of the Jacobi Constant. These maps are employed as visual aids to generate initial guesses for orbital transfers and to determine the predictability of the long term behavior of a spacecraft's trajectory. Results of the current investigation demonstrate that high-altitude transfers may be performed for comparable, and in some cases less, V than conventional transfers. Additionally, transfers are found that are more timely than a launch-on-demand capability that requires 30 days lead time. The ability of satellites in such orbits to provide remote sensing coverage of the surface of the Earth is also assessed and found to be low relative to that of a satellite at geostationary altitude (35,786 km); however, intervals of high performance exist. The current investigation demonstrates not only the potential utility of high-altitude satellite trajectories for military applications but also an effective implementation of methods from dynamical systems theory.
Developmental Coordination Disorder and Unhealthy Weight Status in Taiwanese Children: The Roles of Sex and Age

This study aimed to provide up-to-date information regarding the estimated prevalence of developmental coordination disorder (DCD) in Taiwanese children. Their unhealthy weight status was also examined, as well as the roles of sex and age. This cross-sectional study recruited 825 children aged between 4 and 12 years and categorized them into either typically developing children (TD, >16th percentile) or children at risk for DCD (rDCD, ≤16th percentile) based on the result of the Movement Assessment Battery for Children—2nd edition. Body mass index was calculated to determine weight status (i.e., normal weight, underweight, overweight, and obesity). The estimated prevalence of rDCD was 9.7%. There were significantly more boys in the rDCD groups (p < 0.001). Additionally, preschool children with rDCD were at greater risk for being underweight. However, there was no significant group difference which was found for overweight/obesity. A lower prevalence of rDCD was found in this study. Nevertheless, children with rDCD may be more likely to be underweight in early childhood. Early intervention should be provided to target this population.
Solar Flux Effects on the Variations of Equatorial Electrojet (EEJ)
 and Counter-Electrojet (CEJ) Current across the Different Longitudinal Sectors
 during Low and High Solar Activity

This study examined the effect of solar flux (F10.7) and sunspots number (R) on the daily variation of equatorial electrojet (EEJ) and morning/afternoon counter electrojet (MCEJ/ACEJ) in the ionospheric E region across the eight longitudinal sectors during quiet days from January 2008 to December 2013. In particular, we focus on both minimum and maximum solar cycle of 24. For this purpose, we have collected a 6-year ground-based magnetic data from multiple stations to investigate EEJ/CEJ climatology in the Peruvian, Brazilian, West & East African, Indian, Southeast Asian, Philippine, and Pacific sectors with the corresponding F10.7 and R data from satellites simultaneously. Our results reveal that the variations of monthly mean EEJ intensities were consistent with the variations of solar flux and sunspot number patterns of a cycle, further indicating that there is a significant seasonal and longitudinal dependence. During the high solar cycle period, F10.7 and R have shown a strong peak around equinoctial months, consequently, the strong daytime EEJs occurred in the Peruvian and Southeast Asian sectors followed by the Philippine regions throughout the years investigated. In those sectors, the correlation between the day Maxima EEJ and F10.7 strengths have a positive value during periods of high solar activity, and they have relatively higher values than the other sectors. A predominance of MCEJ occurrences is observed in the Brazilian (TTB), East African (AAE), and Peruvian (HUA) sectors. We have also observed the CEJ dependence on solar flux with an anti-correlation between ACEJ events and F10.7 are observed especially during a high solar cycle period.
Methods for Comparing Simulated and Observed Satellite Infrared Brightness Temperatures and What Do They Tell Us

AbstractIn this study, the utility of dimensioned, neighborhood-based, and object-based forecast verification metrics for cloud verification is assessed using output from the experimental High Resolution Rapid Refresh (HRRRx) model over a 1-day period containing different modes of convection. This is accomplished by comparing observed and simulated Geostationary Operational Environmental Satellite (GOES) 10.7-μm brightness temperatures (BTs). Traditional dimensioned metrics such as mean absolute error (MAE) and mean bias error (MBE) were used to assess the overall model accuracy. The MBE showed that the HRRRx BTs for forecast hours 0 and 1 are too warm compared with the observations, indicating a lack of cloud cover, but rapidly become too cold in subsequent hours because of the generation of excessive upper-level cloudiness. Neighborhood and object-based statistics were used to investigate the source of the HRRRx cloud cover errors. The neighborhood statistic fractions skill score (FSS) showed that displ.
Factores sociodemográficos familiares y cibervictimización en Educación Primaria

La cibervictimización es un fenómeno social en el que una víctima recibe un acto intencional y agresivo de daño de un agresor/es, a través de las tecnologías, del que no puede defenderse fácilmente. Las víctimas presentan síntomas de salud física, así como bajos niveles de bienestar psicológico e, incluso, niveles más elevados de intentos e ideaciones suicidas. La prevalencia de la cibervictimización, en Educación Primaria en España, es alarmante puesto que se sitúa entre el 6.6% y el 13.4%, incrementándose a raíz del confinamiento derivado del COVID-19. Por todo ello, resulta crucial investigar los factores de riesgo y de protección que nos permitan su prevención, especialmente sobre aquellos menos estudiados en esta etapa educativa como son las variables sociodemográficas. El objetivo del estudio es analizar la relación entre factores sociodemográficos parentales (edad, género, nivel educativo, antecedentes de inmigración, estructura familiar y grado de ruralidad del municipio de residencia familiar) y la cibervictimización en Educación Primaria de sus hijos. Se seleccionó una muestra de 1169 familias con hijos en 5º y 6º de Educación Primaria, valiéndose de un cuestionario autoadministrado (α = .84). Los estudios de asociación se realizaron mediante regresión logística binaria. El modelo multivariante siguió un procedimiento stepwise, con la función stepAIC, seleccionándose el mejor modelo predictivo. Los análisis bivariantes identificaron el nivel educativo de la familia como factor de riesgo individual de la cibervictimización (p < .05). Además, las familias monoparentales alcanzaron casi el doble más de riesgo que las biparentales. Los resultados del análisis multivariante evidenciaron que el género, el nivel educativo y la estructura familiar se asocian significativamente de forma conjunta con la cibervictimización en Educación Primaria. Se concluye que existen factores sociodemográficos familiares que predicen la cibervictimización y se analizan las implicaciones que estos resultados suponen para la práctica educativa.