Miracle-dz/UniFAR-FTUs huggingface dataset:
2 Refresher About Skyline Queries and Motivations 2 . 1

This paper deals with the issue of retrieving the most preferred objects (in the sense of Skyline queries, i.e., of Pareto ordering) from a collection involving outliers. Indeed, many real-world datasets, for instance from ad sales websites, contain odd data and it is important to limit the impact of such odd data (outliers) on the result of skyline queries, and prevent them from hiding more interesting points. The approach we propose relies on the notion of fuzzy typicality and makes it possible to compute a graded skyline where each answer is associated with both a degree of membership to the skyline and a typicality degree. A GPU-based parallel implementation of the algorithm is described and experimental results are presented, which show the scalability of the approach.
The Cumulative Relationship between Housing Instability and Mental Health: Findings from the Panel Study of Income Dynamics

ABSTRACT Housing instability has been known to be a key determinant of mental health. However, previous studies have focused heavily on examining the relationship between housing instability and mental health cross-sectionally with single-point-in-time measures and the cumulative nature of housing instability that could occur repeatedly over time has been largely overlooked. By analyzing a panel dataset uniquely constructed based on the Panel Study of Income Dynamics and other datasets, this paper examines whether the cumulative association exists between housing instability incidents and mental health. By estimating negative binomial regression models, I found that the more housing instability incidents an individual has been exposed to, the poorer the individual’s mental health is likely to be. In particular, when individuals experience housing instability incidents successively without a period of being stably housed, mental health conditions dramatically deteriorate until the duration of housing instability reaches six years. Also, cumulative exposure to housing instability incidents can lead individuals to critical mental problems, but such associations are not entirely linear. These findings suggest that future policy interventions should ensure that individuals placed at heightened risk of housing instability be proactively housing.
A current mirroring integration based readout circuit for high performance infrared FPA applications

Reports a current mirroring integration (CMI) CMOS readout circuit for high-resolution infrared focal plane array (FPA) applications. The circuit uses a feedback structure with current mirrors to provide stable bias voltage across the photodetector diode, while mirroring the diode current to an integration capacitor. The integration capacitor can be placed outside of the unit pixel, reducing the pixel area and allowing one to integrate the current on larger capacitance for larger charge storage capacity and dynamic range. The CMI unit cell allows almost rail-to-rail voltage swing on the integration capacitance for low voltage operation. The detector bias voltage can be adjusted independently for various detector requirements. By virtue of current feedback in the CMI structure, very low (ideally zero) input impedance is achieved. The unit-cell contains just nine MOS transistors and occupies 20 /spl mu/m/spl times/25 /spl mu/m area in a 0.8-/spl mu/m CMOS process. The CMI circuit provides a maximum charge storage capacity of 5.25/spl times/10/sup 7/ electrons and a maximum transimpedance of 6/spl times/10/sup 7/ /spl Omega/ for a 5 V power supply and 2 pF off-pixel integration capacitance.
Multidimensional harmonic current feedforward compensation control of single‐phase alternating current–direct current power factor correction converter

Generally, low‐bandwidth condition of control voltage loop is used for single‐phase alternating current–direct current (AC–DC) power factor correction (PFC) converter, which eliminates the influence of the second harmonic component in the output voltage on control loop but degrades the load dynamic performance. However, the high‐bandwidth condition of voltage loop would cause multiharmonic distortions both in the input current and output voltage. Regarding this issue, this paper proposes a multidimensional harmonic current feedforward compensation control (MHCFC) scheme, to eliminate multiharmonic distortion of the PFC system using a high‐bandwidth condition of voltage loop and improve the dynamic performance as well. In the proposed scheme, the odd harmonics of the input current are extracted through multidimensional band‐pass filters and further converted into even harmonic compensation signals via the coordinate transformation, so as to offset the negative effects of the even harmonics of the output voltage. Taking boost PFC circuit as an example, a digital controlled experimental prototype is built to verify the feasibility of the proposed control scheme. The experimental results show that, compared with the traditional low‐pass filter (LPF) scheme, the proposed scheme guarantees a high‐quality input current while its load dynamic response is improved by about 70%.
CARBON NANOTUBES REINFORCED ZIRCONIA COMPOSITES FOR ARTFICIAL HIP JOINTS BEARING SURFACES

This research focuses on the properties and capabilities of carbon nanotubes (CNTs) as reinforcing agents in ceramic composite bearing components. The addition of CNT to pure ceramics can form composites with much better performance than conventional ceramics for various applications. The study was started from the pure ceramics in their use as a component of bearing total hip arthroplasty and the damage that occurred after implantation. The study covers factors that cause degradation of conventional ceramics introduction of properties and use of CNTs as new reinforcing agents for ceramic composite materials widely used sintering method and the heat and pressure parameters used during the sintering process to meet the standards for the manufacture of Total Hip Arthroplasty (THA) bearing component. The contact and buckling behaviors of the CNTs influence the composites friction properties. The presence of CNT until 20 wt% of CNT exhibited improve wear resistance with lower friction with the increase of weight percent. CNT reinforced ceramic coating might be capable to withstand high load-bearing conditions. Plastic deformation can be one of the critical processes in wear in the ceramics wear mechanism. Other processes are cracking and chemical reaction. The microstructures and porosity take an important role in indicating the ceramics wear properties and wear mechanisms.
The relative risk of the toxico-clinical parameters based on poisoning severity and outcomes in patients with acute poisoning

Background: Identification of complications or death risk factors in patients with acute poisoning allows better monitoring and treatment. Hence, the aim of this study was to determine the relative risk of toxico-clinical parameters based on poisoning severity and outcomes in patients with acute poisoning. Methods: This cross-sectional study consisted of patients with acute poisoning admitted to the poisoning emergency room from 2018 to 2019. Patients were categorized into four groups minor, moderate, severe, and fatal poisoning. Different toxico-clinical parameters were analyzed by multivariate logistic regression. Results: The most common poisoning in the minor group was opioids, alcohols, and benzodiazepine (14.7%), in the moderate and severe groups was multidrug (23.3%) and in the fatal group pesticides poisoning (23%). Pre-hospital antidote administration (OR, 7.08; P-value, 0.006); low level of consciousness (OR, 4.38; P-value, 0.001); abnormal ECG (OR, 4.56; P-value, 0.003); and time interval of intoxication to admission in the hospital (OR, 1.15; P-value, 0.01) were the predictive factors for poisoning severity. 49.7% of patients recovered without any complications. Patients with low level of consciousness (OR, 66.06; P-value, 0.01); underlying disease (OR, 3.65; P-value, 0.03); abnormal respiration (OR, 1.14; P-value, 0.02); and longer duration of hospitalization (OR, 1.02; P-value, 0.001) had greater risk of complications/ Death. Conclusions: In clinical practice, low level of consciousness, pre-hospital antidote administration, abnormal ECG, underlying disease, abnormal respiration, delay to presentation to hospital, and longer length of hospital stay can be considered important factors for determining poisoning severity and outcome.
Periodic solutions for feedback control coupled systems on networks

This paper is concerned with the existence of periodic solutions for feedback control coupled systems on networks (FCCSNs) by a novel approach, which is made up of the continuation theorem of coincidence degree theory, graph theory, Lyapunov method, and some novel analysis skills. As an application of our approach, the existence and global asymptotic stability of periodic solutions for feedback control coupled oscillators on networks are investigated. Finally, numerical simulations are given to illustrate the effectiveness and feasibility of our results.
Effects of varying group sizes on performance, body defects, and productivity in broiler chickens

Abstract This study aimed to determine the changes in the performance, welfare, and productivity level of broiler chickens reared at various group sizes (GS3000, GS4000, GS6000, and GS20 000) under intensive field conditions. The study was carried out according to a randomized block design with four different group sizes (GS) in three trials. Weekly body weights (BWs) were determined randomly in 150 individuals from each GS group. Feed intake (FI), feed conversion ratio (FCR), and European production efficiency factor (EPEF) were determined for each GS treatment. Body defects (footpad dermatitis, FPD, hock burn, HB, and the breast burn, BB) were measured randomly in 150 chickens (75 male and 75 female) from each group using a visual scoring system with a 0–3 scale. At 1 and 2 weeks of age, GS3000 broilers had similar BW to GS6000 and higher than GS4000 and GS20 000. However, this situation changed at 6 weeks of age and the male chickens in GS6000 became heavier than in GS3000, GS4000 and GS20 000 ( P = 0.007). No differences in mean values of temperature, humidity, air velocity and litter moisture levels were observed among GS treatments. GS3000 and GS4000 chickens had significantly lower levels of FPD, HB, and BB than chickens reared in GS6000 and GS20 000 ( P < 0.001). The EPEF values from highest to lowest were 425.8, 404.5, 358.8, and 354.0 in the GS6000 GS3000, GS4000, and GS20 000 groups, respectively. In conclusion, our study results showed that rearing in groups of 6000 broilers had both better performance and higher overall productivity than other groups but tended to show more severe body defects.
The determinants of Sustainable Corporate Performance at PT. GCR Textile

Both industrialization and globalization provide a positive impact on economic growth but they, on the other hand, are also a major cause of environmental damage. To avoid this environmental damage, every company in its operation is required to focus on the environment-friendly concept to achieve sustainable corporate performance. The purpose of the article is to examine and analyze the influence of Green Transformational Leadership, and Green Training Variables on Sustainable Corporate Performance at PT. GCR Textile through the Employee Green Behavior as the mediating variable. The research method was a quantitative approach with a causal exploration design. The sample of this study was 90 respondents who use a simple random sampling technique. Data collection techniques using a questionnaire instrument with a Likert scale measurement. Data were then analyzed by using SEM PLS Smart PLS Software version 3.2. 8. The results of this study indicate that the independent variable has directly a significant effect on sustainable corporate performance also through its mediating variable employee green behavior. The author recommends that management should improve pro-environment leadership, equal training opportunities, and recruitment for pro-environment employees.
Graph Metrics for Network Robustness—A Survey

Research on the robustness of networks, and in particular the Internet, has gained critical importance in recent decades because more and more individuals, societies and firms rely on this global network infrastructure for communication, knowledge transfer, business processes and e-commerce. In particular, modeling the structure of the Internet has inspired several novel graph metrics for assessing important topological robustness features of large complex networks. This survey provides a comparative overview of these metrics, presents their strengths and limitations for analyzing the robustness of the Internet topology, and outlines a conceptual tool set in order to facilitate their future adoption by Internet research and practice but also other areas of network science.
Social‐trust‐aware variational recommendation

Most existing studies that employ social‐trust information to solve the data sparsity issue in recommender systems assume that socially connected users have equal influence on each other. However, this assumption does not hold in practice since users and their friends may not have similar interests because social connections are multifaceted and exhibit heterogeneous strengths in different scenarios. Therefore, estimating the diverse levels of influence among entities (users/items/social connections) is very important in advancing social recommender systems. Towards this goal, we propose a new model named Social‐Trust‐Aware Variational Recommendation (SOAP‐VAE). Particularly, SOAP‐VAE leverages graph attention network techniques to capture the varying levels of influence and the complex interaction patterns among all the entities collectively and holistically. In doing so, heterogeneity among entities is obtained seamlessly. Consequently, we generate social‐trust‐aware item embedding representations in which the right level of influence has been integrated. Next, based on these rich social‐trust‐aware item representations, we formulate the first‐ever social‐trust‐aware prior in literature. Unlike priors utilized in earlier VAE‐based recommendation models, this novel prior aids in dealing with the issue of posterior‐collapse and can effectively capture the uncertainty of latent space. In effect, the model produces better latent representations, which significantly alleviates the data sparsity issue. Finally, we empirically show that SOAP‐VAE outperforms several state‐of‐the‐art baselines on three real‐world data sets.
Cuidados para el manejo de delirio en Unidades de Paciente Crítico: una revisión integrativa

Objetivo: analizar en la evidencia bibliografica los aspectos que influyen en el desarrollo del delirio, manejo, evaluacion objetiva para su pesquisa y los cuidados relacionados a la promocion y prevencion de este en los usuarios hospitalizados en unidades criticas. Metodologia: Se realizo una revision integrativa, en bases de datos CINAHL; SCOPUS y Scielo. Fueron seleccionados 19 articulos limitados por ano (2016-2017). Resultado: Se identificaron cuatro factores que impactan en el delirio: la fisiopatologia/factores de riesgo, la prevencion y promocion, la evaluacion objetiva y el manejo en unidades criticas. Conclusion: La Gestion del Cuidado se encuentra a cargo de Enfermeria, por ende, es fundamental no dejar esta tematica de lado debido a que su incidencia aumentara los dias de hospitalizacion, dias de ventilacion mecanica y mortalidad, impactando negativamente en la calidad de los cuidados.
From the Banestado Case to Operation Car Wash: Building an Anti-Corruption Institutional Framework in Brazil *

ABSTRACT The article analyzes the development process of a new anti-corruption institutionality in Brazil, based mainly on judicial tools and on the legal system – police officers, prosecutors, and judges – that finds its highest expression during the Operation Car Wash. The hypothesis is that the new anti-corruption institutionality was built in the first term through justice policies coordinated by the Federal government, but was taken over by the Public Prosecution’s Office and the Judiciary. The article highlights the main characteristics of the new anti-corruption institutionality and introduces its historical construction, frame by frame, based on the evolution of task forces in Brazil from the Banestado Case to Operation Car Wash.
Local instabilities in magnetized rotational flows: a short-wavelength approach

Abstract We perform a local stability analysis of rotational flows in the presence of a constant vertical magnetic field and an azimuthal magnetic field with a general radial dependence. Employing the short-wavelength approximation we develop a unified framework for the investigation of the standard, helical and azimuthal version of the magnetorotational instability (MRI), as well as of current-driven kink-type instabilities. Considering the viscous and resistive setup, our main focus is on the case of small magnetic Prandtl numbers which applies e.g. to liquid-metal experiments but also to the colder parts of accretion disks. We show that the inductionless versions of MRI that were previously thought to be restricted to comparatively steep rotation profiles extend well to the Keplerian case if only the azimuthal field slightly deviates from its current-free (in the fluid) profile. We find an explicit criterion separating the pure azimuthal inductionless MRI from the regime where this instability is mixed with the Tayler instability. We further demonstrate that for particular parameter configurations the azimuthal MRI originates as a result of a dissipation-induced instability of Chandrasekhar’s equipartition solution of ideal magnetohydrodynamics.
Normative Values for Femoral Length, Tibial Length, and the Femorotibial Ratio in Adults Using Standing Full-Length Radiography

Knowledge of the normal length and skeletal proportions of the lower limb is required as part of the evaluation of limb length discrepancy. When measuring limb length, modern standing full-length digital radiographs confer a level of clinical accuracy interchangeable with that of CT imaging. This study reports a set of normative values for lower limb length using the standing full-length radiographs of 753 patients (61% male). Lower limb length, femoral length, tibial length, and the femorotibial ratio were measured in 1077 limbs. The reliability of the measurement method was tested using the intra-class correlation (ICC) of agreement between three observers. The mean length of 1077 lower limbs was 89.0 cm (range 70.2 to 103.9 cm). Mean femoral length was 50.0 cm (39.3 to 58.4 cm) and tibial length was 39.0 cm (30.8 to 46.5 cm). The median side-to-side difference was 0.4 cm (0.2 to 0.7, max 1.8 cm) between 324 paired limbs. The mean ratio of femoral length to tibial length for the study population was 1.28:1 (range 1.16 to 1.39). A moderately strong inverse linear relationship (r = −0.35, p < 0.001, Pearson’s) was identified between tibial length and the corresponding femorotibial ratio. The PACS-based length measurement method used in this study displayed excellent inter-observer reliability (ICC of 0.99). This study presents a normal range of values for lower limb length in adults and is the first to identify a linear relationship between tibial length and the femorotibial ratio.
Mean reversion in a price-earnings ratio and under / overvaluation in the Brazilian stock market

ABSTRACT The market price-earnings ratios differ from those of each share. Despite allowing for several pertinent analyses, authors have rarely addressed these valuation ratios in the Brazilian context. We can use it to evaluate whether the stock market is overvalued (undervalued). In this article, we analyze the mean reversion in a price-earnings ratio based on Ibovespa and identify periods of overvaluation (undervaluation) in the Brazilian stock market. We considered the period from December 2004 to June 2018. Until then, there are no studies that sought to identify periods of overvaluation (undervaluation) in this market. In the analyses, we used non-linear econometric methods. We analyzed the mean reversion in the price-earnings ratio using a unit root test that incorporates a Fourier function in the deterministic term. We identified the periods of market overvaluation (undervaluation) through the regime probabilities obtained from a Markov Switching model, estimated with the price-earnings ratio. The results evidenced that the price-earnings ratio based on the Ibovespa has a non-linear trend and exhibits mean reversion. Thus, this valuation ratio should provide information on the future stock market returns, mostly when it is very dispersed in relation to historical standards. We identified four periods of market overvaluation interposed with five periods of market undervaluation. Mean reversion in the price-earnings ratio contraposes the Efficient Markets Hypothesis. There are no other applications of unit root tests with a Fourier function in the Brazilian context. Furthermore, adopting a Markov Switching model to identify periods of market overvaluation (undervaluation) consists of a methodological contribution. Investors can take advantage of the identification of these periods to establish investment strategies.