Miracle-dz/UniFAR-FTUs huggingface dataset:
A cyclodissipativity characterization of power factor compensation of nonlinear loads under nonsinusoidal conditions

Recently, it has been established that power factor (PF) improvement for nonlinear loads with nonsinusoidal source voltage is equivalent to imposing the property of cyclodissipativity to the source terminals. Using this framework, the classical capacitor and inductor compensators were interpreted in terms of energy equalization. The purpose of this brief note is to extend this approach in three directions. In the result reported in the literature, the supply rate is a function of the load, which is usually unknown, stymieing the applicability of the technique for compensator synthesis. Our first contribution is a new cyclodissipativity condition, which is also equivalent to PF improvement, but whose supply rate is now function of the compensator. Second, we consider general lossless linear compensators, instead of only capacitive or inductive compensators. As a result, we show that the PF is improved if and only if a certain equalization condition between the weighted powers of inductors and capacitors of the load is ensured. Finally, we exhibit the gap between the ideal compensator, namely the one that achieves unitary PF, and the aforementioned equalization condition. This result naturally leads to the formulation of a problem of optimization of the parameters of the compensator. Copyright © 2011 John Wiley & Sons, Ltd.
Generating forbidden region virtual fixtures by classification of movement intention based on event-related desynchronization

The development of children's cognitive and perceptual skills depends heavily on object exploration and manipulative experiences. New types of robotic assistive technologies that enable children with disabilities to interact with their environment, which prove to be beneficial for their cognitive and perceptual skills development, have emerged in recent years. In this study, a human-robot interface that uses Event-Related Desynchronization (ERD) brain response during movement was developed. A haptic robot generates force feedback to constrain the user's hand motion into a defined region using a Forbidden Region Virtual Fixture (FRVF). Two channels of electroencephalography (EEG) brain signals were acquired and used to design classifiers to discriminate the pattern of brain signals between “movement” and “rest” during the operation of the robot. The highest ERD classification accuracy achieved was 69.4%. With the classifier, ERD-based FRVFs were tested in a simple robot operation task with two non-disabled adults. The virtual wall triggered by ERD successfully blocked the motion of the two participants on average 7 and 6.4 out of 10 times, respectively. Although further improvement of the system is still needed, the experimental results demonstrate the potential of the ERD-based FRVFs in robot control for a clinical population.
A COMMENT ON THE TEST OF OVERIDENTIFYING RESTRICTIONS

THE TEST OF OVERIDENTIFYING restrictions of one equation in a simultaneous system proposed by Anderson and Rubin [1] and amplified by Koopmans and Hood [7] has been a source of some confusion in the literature. For instance, Liu and Breen [8] claimed that "It is . clear that the test does not really test the null hypothesis (of zero restrictions on the endogenous and exogenous variables)" because, they thought the restrictions on the endogenous variables were included in the computation of the likelihood under the alternative hypothesis. After Fisher and Kadane [3] gave a verbal argument showing that the test is consistent over a wide class of alternatives, Liu and Breen [9] withdrew their earlier view. Nonetheless there is a problem in that generally the null hypothesis is expressed in terms of the structural form, while generally consistency is a matter of the reduced form. Our purpose is to reexamine this problem, and prove two theorems showing the equivalence of various conditions in the literature. We suggest that the null hypothesis be extended. We may write a single equation as
A Systematic Review of Endovascular Management of Internal Carotid Artery Dissections

Background: We conducted a review of the safety and outcomes of endovascular intervention in patients with internal carotid artery dissection (ICAD). Summary: A literature review was performed. PubMed and Medline databases were searched from inception to September 2012 with the key words ‘carotid artery' (title), ‘dissection' (title) and ‘endovascular' (title/abstract). All studies were included which reported outcomes of endovascular intervention in ICAD and provided information about technical and clinical results. After screening, we included 23 articles. In total, 201 patients (128 male and 73 female) were included in the eligible studies. The mean age was 46.7 years (range 13-83 years). Of the 201 patients, the causes of the carotid dissections were traumatic in 69 (34.3%), spontaneous in 115 (57.2%) and iatrogenic in 17 (8.5%). The technical success rate was 99.1%. The overall rate of major cardiovascular events in the perioperative period was 4%. No procedure-related deaths occurred. Imaging follow-up data (mean follow-up time 16.5 months) demonstrated that only 3.3% of patients had intimal hyperplasia or in-stent restenosis or occlusion of a treated vessel. Clinical follow-up data (mean follow-up period 20.9 months) showed that only 2.1% of patients had a recurrent transient ischemic attack in the territory of the treated vessel. Key Messages: Endovascular intervention with stenting or stent-graft-supported angioplasty in selected patients with ICAD is promising. However, further evaluation is warranted to provide more evidence to support the feasibility of endovascular procedures in treating ICAD.
An Approach to Correction of Erroneous Links in Knowledge Graphs

Enriching and cleaning datasets are tasks relevant to most largescale knowledge graphs, which are known to be noisy and incomplete. In this paper, we propose one approach to fix wrong facts which originate from confusion between entities. This is a common source of errors in Wikipedia, from which DBpedia and YAGO are extracted, and in open information extraction systems, e.g. NELL. Our approach generates candidate subjects and objects to fix triples by exploiting disambiguation links and approximate string matching. We run our approach on DBpedia and NELL and perform a manual evaluation of the generated corrections.
Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns

Significance The sounds we encounter in everyday life (e.g. speech, voices, animal cries, wind, rain) are complex and various. How the human brain analyses their acoustics remains largely unknown. This research shows that mathematical modelling in combination with high spatial resolution functional magnetic resonance imaging enables reverse engineering of the human brain computations underlying real-life listening. Importantly, the research reveals that even general auditory processing mechanisms in the human brain are optimized for fine-grained analysis of the most behaviorally relevant sounds (i.e., speech, voices). Most likely, this observation reflects the evolutionary feat that, for humans, discriminating between speech sounds is more crucial than distinguishing, for example, between barking dogs. Ethological views of brain functioning suggest that sound representations and computations in the auditory neural system are optimized finely to process and discriminate behaviorally relevant acoustic features and sounds (e.g., spectrotemporal modulations in the songs of zebra finches). Here, we show that modeling of neural sound representations in terms of frequency-specific spectrotemporal modulations enables accurate and specific reconstruction of real-life sounds from high-resolution functional magnetic resonance imaging (fMRI) response patterns in the human auditory cortex. Region-based analyses indicated that response patterns in separate portions of the auditory cortex are informative of distinctive sets of spectrotemporal modulations. Most relevantly, results revealed that in early auditory regions, and progressively more in surrounding regions, temporal modulations in a range relevant for speech analysis (∼2–4 Hz) were reconstructed more faithfully than other temporal modulations. In early auditory regions, this effect was frequency-dependent and only present for lower frequencies (<∼2 kHz), whereas for higher frequencies, reconstruction accuracy was higher for faster temporal modulations. Further analyses suggested that auditory cortical processing optimized for the fine-grained discrimination of speech and vocal sounds underlies this enhanced reconstruction accuracy. In sum, the present study introduces an approach to embed models of neural sound representations in the analysis of fMRI response patterns. Furthermore, it reveals that, in the human brain, even general purpose and fundamental neural processing mechanisms are shaped by the physical features of real-world stimuli that are most relevant for behavior (i.e., speech, voice).
Clinical significance of CD73 in triple-negative breast cancer: multiplex analysis of a phase III clinical trial

Background CD73 is an ecto-enzyme that promotes tumor immune escape through the production of immunosuppressive extracellular adenosine in the tumor microenvironment. Several CD73 inhibitors and adenosine receptor antagonists are being evaluated in phase I clinical trials. Patients and methods Full-face sections from formalin-fixed paraffin-embedded primary breast tumors from 122 samples of triple-negative breast cancer (TNBC) from the BIG 02-98 adjuvant phase III clinical trial were included in our analysis. Using multiplex immunofluorescence and image analysis, we assessed CD73 protein expression on tumor cells, tumor-infiltrating leukocytes and stromal cells. We investigated the associations between CD73 protein expression with disease-free survival (DFS), overall survival (OS) and the extent of tumor immune infiltration. Results Our results demonstrated that high levels of CD73 expression on epithelial tumor cells were significantly associated with reduced DFS, OS and negatively correlated with tumor immune infiltration (Spearman's R= -0.50, P < 0.0001). Patients with high levels of CD73 and low levels of tumor-infiltrating leukocytes had the worse clinical outcome. Conclusions Taken together, our study provides further support that CD73 expression is associated with a poor prognosis and reduced anti-tumor immunity in human TNBC and that targeting CD73 could be a promising strategy to reprogram the tumor microenvironment in this BC subtype.
Effects of Soy Lecithin Extender on Dog Sperm Cryopreservation

ABSTRACT Semen cryopreservation is an essential biotechnology in canine reproduction and during the cryopreservation process commonly egg yolk are used. The discrepancy in the egg yolk composition and the potential risk of disease dissemination are obstacles for semen exportation and use. Therefore, studies aiming to substitute egg yolk are extremely important. In this context, soy lecithin contains a low-density lipoprotein fraction, is an interesting alternative. Thus, the objective of this study was to compare extenders based on soy lecithin (several concentrations and forms) with egg yolk during the cryopreservation process of dog sperm. For this purpose, we used twelve dogs. Semen was evaluated at different time points (after refrigeration, glycerolization, and thawing), by motility analysis (CASA) and functional tests (e.g., membrane integrity—eosin/nigrosin, acrosome integrity—fast green/Bengal rose, mitochondrial activity—3’3 diaminobenzidine, Chromatin susceptibility to acid-induced denaturation—SCSA, and susceptibility to oxidative stress—thiobarbituric acid reactive substances). The results indicated that egg yolk and lower concentrations of lecithin had similar effects on mitochondrial activity and motility. Thus, soy lecithin is a potentially viable alternative to egg yolk for the cryopreservation of dog semen.
Distributional cost-effectiveness analysis in low- and middle-income countries: illustrative example of rotavirus vaccination in Ethiopia

Reducing health inequality is a major policy concern for low- and middle-income countries (LMICs) on the path to universal health coverage. However, health inequality impacts are rarely quantified in cost-effectiveness analyses of health programmes. Distributional cost-effectiveness analysis (DCEA) is a method developed to analyse the expected social distributions of costs and health benefits, and the potential trade-offs that may exist between maximising total health and reducing health inequality. This is the first paper to show how DCEA can be applied in LMICs. Using the introduction of rotavirus vaccination in Ethiopia as an illustrative example, we analyse a hypothetical re-designed vaccination programme, which invests additional resources into vaccine delivery in rural areas, and compare this with the standard programme currently implemented in Ethiopia. We show that the re-designed programme has an incremental cost-effectiveness ratio of US$69 per health-adjusted life year (HALY) compared with the standard programme. This is potentially cost-ineffective when compared with current estimates of health opportunity cost in Ethiopia. However, rural populations are typically less wealthy than urban populations and experience poorer lifetime health. Prioritising such populations can thus be seen as being equitable. We analyse the trade-off between cost-effectiveness and equity using the Atkinson inequality aversion parameter, ε, representing the decision maker's strength of concern for reducing health inequality. We find that the more equitable programme would be considered worthwhile by a decision maker whose inequality concern is greater than ε = 5.66, which at current levels of health inequality in Ethiopia implies that health gains are weighted at least 3.86 times more highly in the poorest compared with the richest wealth quintile group. We explore the sensitivity of this conclusion to a range of assumptions and cost-per-HALY threshold values, to illustrate how DCEA can inform the thinking of decision makers and stakeholders about health equity trade-offs.
Ethanol stress in Oenococcus oeni: transcriptional response and complex physiological mechanisms

Oenococcus oeni is the dominant species able to cope with a hostile environment of wines, comprising cumulative effects of low pH, high ethanol and SO2 content, nonoptimal growth temperatures and growth inhibitory compounds. Ethanol tolerance is a crucial feature for the activity of O. oeni cells in wine because ethanol acts as a disordering agent of its cell membrane and negatively affects metabolic activity; it damages the membrane integrity, decreases cell viability and, as other stress conditions, delays the start of malolactic fermentation with a consequent alteration of wine quality. The cell wall, cytoplasmic membrane and metabolic pathways are the main sites involved in physiological changes aimed to ensure an adequate adaptive response to ethanol stress and to face the oxidative damage caused by increasing production of reactive oxygen species. Improving our understanding of the cellular impact of ethanol toxicity and how the cell responds to ethanol stress can facilitate the development of strategies to enhance microbial ethanol tolerance; this allows to perform a multidisciplinary endeavour requiring not only an ecological study of the spontaneous process but also the characterization of useful technological and physiological features of the predominant strains in order to select those with the highest potential for industrial applications.
The influence of learning style on satisfaction and learning effectiveness in the asynchronous web-based learning system

Purpose The purpose of this paper is to investigate the effect of user’s learning style (including accommodators, divergers, convergers, and assimilators) on user’s satisfaction on the web-based learning system and their learning effectiveness. Design/methodology/approach This experimental research used the college students from a technology institute in Taiwan as the subject sources. By using the Kolb’s learning style model, the students are classified as four types of learners: convergers, divergers, assimilators, and accommodators. The authors analyzed the relationships among the different learning styles with their effectiveness of learning and satisfaction of using the web-based learning system. The mediation effect of gender is also presented. Findings This research indicates that: first, the satisfaction of the web-based learning system has significant influence on the learning performance of learners; second, different learning styles learners have no significant effect to the satisfaction on using the web-based learning system; third, learning effectiveness has significant difference among different learning style learners on the web-based learning system; the learning effectiveness of accommodators and divergers was significantly higher than the assimilators; fourth, different learning styles learners show significant difference in gender proportion. In addition to accommodators, whose proportion of women is higher than men, the other three learning styles’ proportions in men are higher than women. Research limitations/implications This study was grounded in the Kolb’s learning style theory. The authors provide implications for academic studies in e-learning research stream that aimed at understanding the role of learning style as well as gender differences in the asynchronous web-based learning system. Practical implications Results from this study provided the implications for students, educators, and e-learning system designers. The design of teaching materials as well as functions of e-learning systems should take learners’ learning style into consideration to ensure the best learning outcome. Originality/value This study examined the students’ learning style as well as gender differences in the asynchronous web-based learning system. An experiment was conducted to ensure the data were collected in a controlled environment, thus, offer the value that most of the prior study lacks.
The Macrophage Scavenger Receptor Type A Is Expressed by Activated Macrophages and Protects the Host Against Lethal Endotoxic Shock

During gram-negative bacterial infections, lipopolysaccharide (LPS) stimulates primed macrophages (Mφ) to release inflammatory mediators such as tumor necrosis factor (TNF)-α, which can cause hypotension, organ failure, and often death. Several different receptors on Mφ have been shown to bind LPS, including the type A scavenger receptor (SR-A). This receptor is able to bind a broad range of polyanionic ligands such as modified lipoproteins and lipoteichoic acid of gram-positive bacteria, which suggests that SR-A plays a role in host defense. In this study, we used mice lacking the SR-A (SRKO) to investigate the role of SR-A in acquired immunity using a viable bacillus Calmette Guérin (BCG) infection model. We show that activated Mφ express SR-A and that this molecule is functional in assays of adhesion and endocytic uptake. After BCG infection, SRKO mice are able to recruit Mφ to sites of granuloma formation where they become activated and restrict BCG replication. However, infected mice lacking the SR-A are more susceptible to endotoxic shock and produce more TNF-α and interleukin-6 in response to LPS. In addition, we show that an antibody which blocks TNF-α activity reduces LPS-induced mortality in these mice. Thus SR-A, expressed by activated Mφ, plays a protective role in host defense by scavenging LPS as well as by reducing the release by activated Mφ of proinflammatory cytokines. Modulation of SR-A may provide a novel therapeutic approach to control endotoxic shock.
Human Brown Adipose Tissue Temperature and Fat Fraction Are Related to Its Metabolic Activity

Background and Aim The metabolic activity of human brown adipose tissue (BAT) has been previously examined using positron emission tomography (PET). The aim of this study was to use proton magnetic resonance spectroscopy (1H MRS) to investigate whether the temperature and the fat fraction (FF) of BAT and white adipose tissue (WAT) are associated with BAT metabolic activity determined by deoxy-2-18F-fluoro-d-glucose (18F-FDG)-PET. Materials and Methods Ten healthy subjects (four women, six men; 25 to 45 years of age) were studied using PET-magnetic resonance imaging during acute cold exposure and at ambient room temperature. BAT and subcutaneous WAT 1H MRS were measured. The tissue temperature and the FF were derived from the spectra. Tissue metabolic activity was studied through glucose uptake using dynamic FDG PET scanning during cold exposure. A 2-hour hyperinsulinemic euglycemic clamp was performed on eight subjects. Results The metabolic activity of BAT associated directly with the heat production capacity and inversely with the FF of the tissue. In addition, the lipid-burning capacity of BAT associated with whole-body insulin sensitivity. During cold exposure, the FF of BAT was lower than at room temperature, and cold-induced FF of BAT associated inversely with high-density lipoprotein and directly with low-density lipoprotein cholesterol. Conclusion Both 1H MRS-derived temperature and FF are promising methods to study BAT activity noninvasively. The association between the lipid-burning capacity of BAT and whole-body insulin sensitivity emphasizes the role of BAT in glucose handling. Furthermore, the relation of FF to high-density lipoprotein and low-density lipoprotein cholesterol suggests that BAT has a role in lipid clearance, thus protecting tissues from excess lipid load.
Does Tropical Forest Fragmentation Increase Long-Term Variability of Butterfly Communities?

Habitat fragmentation is a major driver of biodiversity loss. Yet, the overall effects of fragmentation on biodiversity may be obscured by differences in responses among species. These opposing responses to fragmentation may be manifest in higher variability in species richness and abundance (termed hyperdynamism), and in predictable changes in community composition. We tested whether forest fragmentation causes long-term hyperdynamism in butterfly communities, a taxon that naturally displays large variations in species richness and community composition. Using a dataset from an experimentally fragmented landscape in the central Amazon that spanned 11 years, we evaluated the effect of fragmentation on changes in species richness and community composition through time. Overall, adjusted species richness (adjusted for survey duration) did not differ between fragmented forest and intact forest. However, spatial and temporal variation of adjusted species richness was significantly higher in fragmented forests relative to intact forest. This variation was associated with changes in butterfly community composition, specifically lower proportions of understory shade species and higher proportions of edge species in fragmented forest. Analysis of rarefied species richness, estimated using indices of butterfly abundance, showed no differences between fragmented and intact forest plots in spatial or temporal variation. These results do not contradict the results from adjusted species richness, but rather suggest that higher variability in butterfly adjusted species richness may be explained by changes in butterfly abundance. Combined, these results indicate that butterfly communities in fragmented tropical forests are more variable than in intact forest, and that the natural variability of butterflies was not a buffer against the effects of fragmentation on community dynamics.