Miracle-dz/UniFAR-FTUs huggingface dataset:
Stability Criteria for Constant Power Loads With Multistage  $LC$ Filters

In high-voltage dc power systems of advanced aircraft, most of the electrical motor drives and power electronic converters behave as constant power loads (CPLs) when tightly regulated and usually cause negative impedance instability problems. This paper presents stability criteria for an electrical system constituted of a dc power supply, multistage LC filters, and an ideal CPL. The derived criteria are based on the Brayton-Moser mixed potential theory and can be extended to actual CPLs. The dynamic negative incremental impedance of the CPL is used to place design constraints on the filter parameters to prevent instabilities. Simulation and experimental results confirm that the proposed criteria would guarantee system stability under different voltage disturbances.
Role of Virtual Electrodes in Arrhythmogenesis: Pinwheel Experiment Revisited

Virtual Electrodes in Arrhythmogenesis. Introduction: Recent experimental evidence demonstrates that a point stimulus generates a nonuniform distribution of transmembrane potential (virtual electrode pattern) consisting of large adjacent areas of depolarization and hyperpolarization. This simulation study focuses on the role of virtual electrodes in reentry induction.
Risk for unplanned hospital readmission of patients with cancer: results of a retrospective medical record review.

PURPOSE/OBJECTIVES To identify potential factors that place patients with cancer at risk for unplanned readmissions after discharge from the hospital. DESIGN Retrospective, descriptive, medical record review. SETTING A National Cancer Institute-designated comprehensive cancer center in an urban area of the Northeastern United States. SAMPLE 78 patients were selected from those readmitted within seven days of discharge. For each readmission case, a nonreadmitted patient was randomly selected and matched on discharge date and reason for prior admission. The age range was 22-87 years, men and women were equally represented, and 88% were Caucasian. METHODS The Readmission Criteria Record was developed to collect data from medical records about factors associated with readmission, including demographics, severity of illness, support at home, symptoms, and comorbidities. MAIN RESEARCH VARIABLES Criteria associated with readmission risk. FINDINGS Patients who had gastrointestinal cancer, nausea within 24 hours of discharge, financial and insurance concerns, or caregiver difficulty or those who lived alone were more likely to be readmitted within seven days of discharge. Patients were more likely to be readmitted on Friday than any other day. Among readmitted patients, 48% were readmitted within one to two days postdischarge. CONCLUSIONS Knowledge of factors that may place patients with cancer at an increased risk for readmission and subsequent implementation of appropriate interventions during hospitalization may help to decrease risk of readmission. IMPLICATIONS FOR NURSING The factors identified provide a basis for assessment, planning, interventions, and follow-up of patients to help reduce the risk of readmission and, thus, poor outcomes.
Factor analysis and defining the metabolic syndrome.

OBJECTIVE The metabolic syndrome has been referred to as a number of metabolic or physiologic abnormalities that occur together more often than would be predicted by chance. Considerable controversy exists about the exact abnormalities that are a part of this syndrome. The aim of this study was to examine the interrelations between these abnormalities. DESIGN National Health and Nutrition Examination Survey (1988-1994), a national cross-sectional health survey. SETTING United States. PARTICIPANTS Persons aged > or = 20 years (N=6868). MAIN OUTCOME MEASUREMENTS Factors composed of variables often associated with the metabolic syndrome derived from principal components analysis. RESULTS Depending on the subgroup studied, the analyses suggested that at least 2 or 3 components were needed to explain the majority of variance in a set of variables. Regardless of age group, sex, race or ethnicity, 4 variables (waist circumference, fasting insulin, triglycerides, and high-density lipoprotein cholesterol) consistently loaded together on the first component, which is consistent with a metabolic syndrome factor. Some differences in the number of factors and the loading patterns occurred among 3 age groups and among men and women. Relatively minimal race or ethnic variation was observed when the data were stratified by sex. A subanalysis that included leptin concentrations produced a similar set of factors as the analysis without leptin concentration. Furthermore, leptin concentration did not provide a unifying explanation for the set of factors. CONCLUSIONS Patterns of factors of variables, often associated with the metabolic syndrome, tended to be similar among Whites, African Americans, and Mexican Americans.
The first detection of Leishmania major in naturally infected Sergentomyia minuta in Portugal

Phlebotomine sandflies of the genus Sergentomyia are widely distributed throughout the Old World. It has been suggested that Sergentomyia spp are involved in the transmission of Leishmania in India and Africa, whereas Phlebotomus spp are thought to be the sole vectors of Leishmania in the Old World. In this study, Leishmania major DNA was detected in one Sergentomyia minuta specimen that was collected in the southern region of Portugal. This study challenges the dogma that Leishmania is exclusively transmitted by species of the genus Phlebotomus in the Old World.
Modelling and maternal mental health 1 Unintentional roles models : Links between maternal eating psychopathology and the modelling of eating behaviours

This study explored the relationships between maternal modelling of eating behaviours with reported symptoms of maternal eating psychopathology, anxiety and depression. Mothers (N=264) with a child aged 1.5 to 8 years completed three self-report measures designed to assess modelling of eating behaviours, eating psychopathology and levels of anxiety and depression. The study found that higher levels of maternal eating psychopathology were positively associated with eating behaviours that were unintentionally modelled by mothers but that maternal eating psychopathology was not associated with more overt/intentional forms of parental modelling. In addition, higher levels of maternal depression were associated with lower levels of both unintentional and intentional forms of maternal modelling whereas maternal anxiety was not found to correlate with modelling behaviours. This study highlights the possible detrimental influences of maternal mental health in relation to mothers providing their child with a positive parental role model around eating and feeding.
Research Progresses of Deep Eutectic Solvents and its Application in Separation and Catalysis

At present, traditional organic agents and catalyst have the lack of low efficiency, poor selectivity, toxicity, environmental pollution and so on. As a new type of green high efficient solvent and catalyst, deep eutectic solvents (DESs) have become one of the hotspots in the green chemistry field. In this paper, domestic and foreign research on DESs in separation and catalysis are reviewed in detail. Firstly, we summarize the characteristic properties of DESs. Secondly, the paper presents a review of DESs application in separation and catalysis. Thirdly, it point out the future research direction of DESs in separation and catalysis fields. All these provide comprehensive guidance in the future study and application of DESs.
Correlations between brain activity and components of motor learning in middle-aged adults: an fMRI study

Implicit learning may be shown by improvements in motor performance, which occur unconsciously with practice and are typically restricted to the task that was practiced. The purpose of this study was to examine behaviorally relevant brain activation associated with change in motor behavior during sequence-specific motor learning of a perceptuomotor continuous tracking (CT) task in middle-aged adults. To gain further insight into the neural structures associated with change in motor behavior, overall improvement in tracking (root mean square error; RMSE) was decomposed into two components—temporal precision and spatial accuracy. We hypothesized that individual differences in CT task performance would be evident in unique networks of brain activation that supported overall tracking behavior as well-temporal and spatial tracking accuracy. A group of middle-aged healthy individuals performed the CT task, which contains repeated and random segments for seven days. Functional magnetic resonance imaging (fMRI) data was collected on the first and seventh day while the participants performed the task. Subjects did not gain explicit awareness of the sequence. To assess behaviorally-relevant changes in the blood oxygenation level-dependent (BOLD) response associated with individual sequence-specific tracking performance, separate statistical images were created for each participant and weighted by the difference score between repeated and random performance for days 1 and 7. Given the similarity of performance for random and repeated sequences during early practice, there were no unique networks evident at day 1. On Day 7 the resultant group statistical fMRI image demonstrated a positive correlation between RMSE difference score and bilateral cerebellar activation (lobule VI). In addition, individuals who showed greater sequence-specific temporal precision demonstrated increased activation in the precentral gyrus, middle occipital gyrus, and putamen of the right hemisphere and the thalamus, cuneus, and cerebellum of the left hemisphere. Activation of this neural network further confirms its involvement in timing of movements as it has been previously associated with task performance when individuals are instructed to emphasize speed over accuracy. In the present study, behavioral performance was associated with neural correlates of individual variation in motor learning that characterized the ability to implicitly learn a sequence-specific CT task.
The Penn Parsed Corpus of Modern British English: First Parsing Results and Analysis

This paper presents the first results on parsing the Penn Parsed Corpus of Modern British English (PPCMBE), a millionword historical treebank with an annotation style similar to that of the Penn Treebank (PTB). We describe key features of the PPCMBE annotation style that differ from the PTB, and present some experiments with tree transformations to better compare the results to the PTB. First steps in parser analysis focus on problematic structures created by the parser.
Explicit Model Predictive Control for Large-Scale Systems via Model Reduction

In this paper, we present a framework for achieving constrained optimal real-time control for large-scale systems with fast dynamics. The methodology uses the explicit solution of the model predictive control problem combined with model reduction, in an output-feedback implementation. The explicit solution of the model predictive control problem leads to online model predictive control functionality without having to solve an optimization problem at each time step. Reduced-order models are derived using a goal-oriented, model-constrained optimization formulation that yields efficient models tailored to the control application at hand. The approach is illustrated on a challenging large-scale flow problem that aims to control the shock position in a supersonic diffuser.
Development of the Profile of Hearing Aid Performance (PHAP).

This paper reports the development of the Profile of Hearing Aid Performance (PHAP), a 66-item self-administered inventory that quantifies performance with a hearing aid in everyday life using both seven-score and four-score profiles. The profiles assess experience with amplification in terms of speech communication in three types of listening situations and in terms of reactions to amplified environmental sounds. The PHAP has been evaluated using groups consisting mainly of elderly hearing aid wearers having mild to moderate hearing impairments. Internal consistency reliability of the scales and subscales ranges from . 70 to . 91. Test-retest correlations range from . 66 to . 88. Ninety percent and 95% critical differences are presented to facilitate evaluation of differences between scores for the same individual under different conditions. It is envisioned that the PHAP will have its principal application in research evaluating and comparing different approaches to hearing aid fittings. In addition, the inventory can be used clinically to assess existing hearing aid fittings.
Trypanocidal Activity of Quinoxaline 1,4 Di-N-oxide Derivatives as Trypanothione Reductase Inhibitors

Chagas disease or American trypanosomiasis is a worldwide public health problem. In this work, we evaluated 26 new propyl and isopropyl quinoxaline-7-carboxylate 1,4-di-N-oxide derivatives as potential trypanocidal agents. Additionally, molecular docking and enzymatic assays on trypanothione reductase (TR) were performed to provide a basis for their potential mechanism of action. Seven compounds showed better trypanocidal activity on epimastigotes than the reference drugs, and only four displayed activity on trypomastigotes; T-085 was the lead compound with an IC50 = 59.9 and 73.02 µM on NINOA and INC-5 strain, respectively. An in silico analysis proposed compound T-085 as a potential TR inhibitor with better affinity than the natural substrate. Enzymatic analysis revealed that T-085 inhibits parasite TR non-competitively. Compound T-085 carries a carbonyl, a CF3, and an isopropyl carboxylate group at 2-, 3- and 7-position, respectively. These results suggest the chemical structure of this compound as a good starting point for the design and synthesis of novel trypanocidal derivatives with higher TR inhibitory potency and lower toxicity.
Helicid alleviates pain and sleep disturbances in a neuropathic pain‐like model in mice

Natural helicid (4‐formylphenyl‐O‐β‐d‐allopyranoside), a main active constituent from seeds of the Chinese herb Helicia nilagirica, has been reported to exert a sedative, analgesic and hypnotic effect, and is used clinically to treat neurasthenic syndrome, vascular headaches and trigeminal neuralgia. In the current study, mechanical allodynia tests, electroencephalograms, electromyogram recordings and c‐Fos expression in neuropathic pain‐like model mice of partial sciatic nerve ligation were used to investigate the effect of helicid on neuropathic pain and co‐morbid insomnia. Our results showed that helicid at a dose of 100, 200 or 400 mg kg−1 could increase the mechanical threshold by 2.5‐, 2.8‐ and 3.1‐fold for 3 h after administration, respectively. Helicid at 200 and 400 mg kg−1 given at 07:00 hours increased the amount of non‐rapid eye movement sleep in a 3‐h period by 1.27‐ and 1.35‐fold in partial sciatic nerve ligated mice. However, helicid (400 mg kg−1) given at 21:00 hours did not change the sleep pattern in normal mice. Immunohistochemical study showed that helicid (400 mg kg−1) administration could reverse the increase of c‐Fos expression in the neurons of the rostral anterior cingulate cortex and tuberomammillary nucleus, and the decrease of c‐Fos expression in the ventrolateral preoptic area caused by partial sciatic nerve ligation. These results indicate that helicid is an effective agent for both neuropathic pain and sleep disturbances in partial sciatic nerve ligated mice.
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction

Purpose: Due to the potential risk of inducing cancer, radiation exposure by X‐ray CT devices should be reduced for routine patient scanning. However, in low‐dose X‐ray CT, severe artifacts typically occur due to photon starvation, beam hardening, and other causes, all of which decrease the reliability of the diagnosis. Thus, a high‐quality reconstruction method from low‐dose X‐ray CT data has become a major research topic in the CT community. Conventional model‐based de‐noising approaches are, however, computationally very expensive, and image‐domain de‐noising approaches cannot readily remove CT‐specific noise patterns. To tackle these problems, we want to develop a new low‐dose X‐ray CT algorithm based on a deep‐learning approach. Method: We propose an algorithm which uses a deep convolutional neural network (CNN) which is applied to the wavelet transform coefficients of low‐dose CT images. More specifically, using a directional wavelet transform to extract the directional component of artifacts and exploit the intra‐ and inter‐ band correlations, our deep network can effectively suppress CT‐specific noise. In addition, our CNN is designed with a residual learning architecture for faster network training and better performance. Results: Experimental results confirm that the proposed algorithm effectively removes complex noise patterns from CT images derived from a reduced X‐ray dose. In addition, we show that the wavelet‐domain CNN is efficient when used to remove noise from low‐dose CT compared to existing approaches. Our results were rigorously evaluated by several radiologists at the Mayo Clinic and won second place at the 2016 “Low‐Dose CT Grand Challenge. ” Conclusions: To the best of our knowledge, this work is the first deep‐learning architecture for low‐dose CT reconstruction which has been rigorously evaluated and proven to be effective. In addition, the proposed algorithm, in contrast to existing model‐based iterative reconstruction (MBIR) methods, has considerable potential to benefit from large data sets. Therefore, we believe that the proposed algorithm opens a new direction in the area of low‐dose CT research.
Preferential alterations in the mesolimbic dopamine pathway of heterozygous reeler mice: an emerging animal‐based model of schizophrenia

Based on a number of neuroanatomical and behavioural similarities, recent evidence suggests that heterozygous reeler mice, haploinsufficient for reelin expression, represent a useful model of psychosis vulnerability. As brain mesolimbic dopamine pathways have been proposed to be associated with the pathophysiology of psychotic disorders, we thought it would be of interest to examine whether these animals present disturbances in the mesolimbic dopamine system. To this end we studied by immunocytochemical, in situ hybridization procedures and receptor autoradiography, several markers of the mesotelencephalic dopamine pathway in heterozygous reeler mice and controls. We report that heterozygous reeler mice exhibit a reduction in the number of tyrosine hydroxylase‐immunoreactive cell bodies and tyrosine hydroxylase mRNA levels in the ventral tegmental area, as well as a reduction of tyrosine hydroxylase and dopamine transporter immunoreactivity in the dopamine terminal fields of the limbic striatum. In these areas we also observed a reduction of dopamine D2 receptor mRNA. Finally, a marked increase in D3 receptor mRNA levels was observed concomitant with a significant increase in D3 binding sites. On the contrary, the nigrostriatal pathway did not show any significant alteration in heterozygous reeler mice with regards to the dopaminergic markers examined in substantia nigra cell bodies and dorsal striatum dopamine terminal fields. These results suggest a specific link between reelin‐related neuronal pathology and dopamine involvement in the pathophysiology of psychotic disorders.
Use of pharmacist blood pressure telemonitoring systems in diagnosis of nocturnal hypertension in a young healthy male

Blood pressure (BP) telemonitoring systems and pharmacist management programs were introduced into Haruka Community Pharmacy. A 22-year-old healthy male came to the community pharmacy, although he was not in a diseased state, he had been informed previously that he had a moderately high BP during a routine examination. He continued home BP telemonitoring for 28 days. A pharmacist intervention was conducted at 2 week intervals. His average nighttime systolic BP was higher than the daytime systolic BP. The pharmacist consulted a doctor based on the BP telemonitoring results, and ambulatory blood pressure monitoring (ABPM) was initiated. The doctor detected nocturnal hypertension based on the results of ABPM monitoring. BP telemonitoring systems have been introduced into a small percentage of pharmacies in Japan, and this is the first case report for the usefulness of these systems in a community pharmacy.
Profile driven dataflow optimisation of mean shift visual tracking

Profile guided optimisation is a common technique used by compilers and runtime systems to shorten execution runtimes and to optimise locality aware scheduling and memory access on heterogeneous hardware platforms. Some profiling tools trace the execution of low level code, whilst others are designed for abstract models of computation to provide rich domain-specific context in profiling reports. We have implemented mean shift, a computer vision tracking algorithm, in the RVC-CAL dataflow language and use both dynamic runtime and static dataflow profiling mechanisms to identify and eliminate bottlenecks in our naive initial version. We use these profiling reports to tune the CPU scheduler reducing runtime by 88%, and to optimise our dataflow implementation that reduces runtime by a further 43% - an overall runtime reduction of 93%. We also assess the portability of our mean shift optimisations by trading off CPU runtime against resource utilisation on FPGAs. Applying all dataflow optimisations reduces FPGA design space significantly, requiring fewer slice LUTs and less block memory.
Distributed Planetary Object Name Service: Issues and Design Principles

The ONS is a central lookup service used in the EPCglobal network for retrieving the location of information about a specific EPC. This centralized solution lacks scalability and fault tolerance. We present the design principles of a distributed solution for ONS lookup service. In distributed systems, the problem of providing a scalable location service requires a dynamic mechanism to associate identification and location. We show that the use of Distributed Hash Tables (DHT) is a good candidate for distributing as it provides such a mechanism. We then outline how to adapt the DHT principles (operations on objects or nodes) to the ONS distribution problem.
A Specialized WFST Approach for Class Models and Dynamic Vocabulary

In this paper we describe a specialized Weighted Finite State Transducer (WFST) framework for handling class language models and dynamic vocabulary in automatic speech recognition. The proposed framework has several important features, a fused composition algorithm that substantially reduces the memory usage in comparison to generic WFST operations, and an efficient dynamic vocabulary scheme that allows for arbitrary new words to be added to class based language models on-thefly without requiring any changes to the pre-compiled transducers. The dynamic vocabulary approach achieves very low run-time costs by representing the dynamic vocabulary items inserted into the language model from an optimum set of existing lexicon items. Experimental results on a voice search task illustrate the low runtime costs of the proposed approach.