Miracle-dz/UniFAR-FTUs huggingface dataset:
Denoise in the pseudopolar grid Fourier space using exact inverse pseudopolar Fourier transform

In this paper I show a matrix method to calculate the exact inverse pseudopolar grid Fourier transform, and use this transform to do noise removals in the k space of pseudopolar grids. I apply the Gaussian filter to this pseudopolar grid and find the advantages of the noise removals are very excellent by using pseudopolar grid, and finally I show the Cartesian grid denoise for comparisons. The results present the signal to noise ratio and the variance are much better when doing noise removals in the pseudopolar grid than the Cartesian grid. The noise removals of pseudopolar grid or Cartesian grid are both in the k space, and all these noises are added in the real space.
Identifying asthma and chronic obstructive pulmonary disease in patients with persistent cough presenting to general practitioners: descriptive study

Abstract Objective: To determine the prevalence of asthma and chronic obstructive pulmonary disease in patients not known to have these disorders, who present in general practice with persistent cough, and to ascertain criteria to help general practitioners in diagnosis. Design: Descriptive study. Setting: Primary healthcare centre in the Netherlands. Subjects: 192 patients aged 18-75 years, not known to have asthma or chronic obstructive pulmonary disease, attending their general practitioner with cough persisting for at least 2 weeks. Methods: A diagnosis of asthma or chronic obstructive pulmonary disease was based on the recurrence of airway symptoms in the past year accompanied by spirometric measurements (including bronchodilator testing) and methacholine provocation tests. A scoring formula to estimate the probability of asthma or chronic obstructive pulmonary disease, based on history and physical examination, was generated by means of logistic regression. Results: 74 patients (39%) were classified as having asthma, 14 (7%) as having chronic obstructive pulmonary disease. The best formula for predicting asthma or chronic obstructive pulmonary disease used scores for three symptoms: (reported) wheeze,(reported) dyspnoea, and allergen induced symptoms, together with prolonged expiration, pack years of smoking, and female sex. Variables were scored 1 when present and 0 when absent, except for allergen induced symptoms (1.5) and number of pack years of smoking (n/25). With a cut off value of 3 on the scoring formula, 76% of the patients could be classified correctly. Conclusions: About half of patients with persistent cough who present to a general practitioner have asthma or chronic obstructive pulmonary disease. With a simple formula based on three symptoms and prolonged expiration, pack years of smoking, and female sex, most patients may be identified correctly in general practice. Key messages Nearly half the patients attending a general practitioner with persistent cough show features of asthma or chronic obstructive pulmonary disease (significant bronchodilator response, airway obstruction, or hyperresponsiveness) Most cases can be identified through history taking and physical examination only The key variables to predict which patients are likely to have asthma or chronic obstructive pulmonary disease are: current wheeze and dyspnoea, symptoms elicited by allergens, prolonged expiration, cumulative smoking, and female sex The scoring formula composed of the key variables may help to determine when it is necessary to perform pulmonary function testing to confirm or reject a diagnosis of asthma or chronic obstructive pulmonary disease
Effectiveness Of Substance Abuse Treatment Programming For Women: A Review

Recent research has shown that women and men differ in substance abuse etiology, disease progression, and access to treatment for substance abuse. Substance abuse treatment specifically designed for women has been proposed as one way to meet women's distinctive needs and reduce barriers to their receiving and remaining in treatment. However, relatively few substance abuse treatment programs offer specialized services for women, and effectiveness has not been fully evaluated. This article reviews the literature on the extent and effectiveness of substance abuse treatment programming for women and provides an overview of what is known about the components of successful treatment programs for women. Thirty-eight studies of the effect on treatment outcomes of substance abuse treatment programming for women were reviewed. Seven were randomized, controlled trials, and 31 were nonrandomized studies. In our review, six components of substance abuse treatment programming for women were examined: child care, prenatal care, women-only programs, supplemental services and workshops that address women-focused topics, mental health programming, and comprehensive programming. The studies found positive associations between these six components and treatment completion, length of stay, decreased use of substances, reduced mental health symptoms, improved birth outcomes, employment, self-reported health status, and HIV risk reduction. These findings suggest that to improve the future health and well-being of women and their children, there is a continued need for well-designed studies of substance abuse treatment programming for women.
Safety alternating automata on data words

A data word is a sequence of pairs of a letter from a finite alphabet and an element from an infinite set, where the latter can only be compared for equality. Safety one-way alternating automata with one register on infinite data words are considered, their nonemptiness is shown to be ExpSpace-complete, and their inclusion decidable but not primitive recursive. The same complexity bounds are obtained for satisfiability and refinement, respectively, for the safety fragment of linear temporal logic with freeze quantification. Dropping the safety restriction, adding past temporal operators, or adding one more register, each causes undecidability.
Reduced Activity of AMP-Activated Protein Kinase Protects against Genetic Models of Motor Neuron Disease

A growing body of research indicates that amyotrophic lateral sclerosis (ALS) patients and mouse models of ALS exhibit metabolic dysfunction. A subpopulation of ALS patients possesses higher levels of resting energy expenditure and lower fat-free mass compared to healthy controls. Similarly, two mutant copper zinc superoxide dismutase 1 (mSOD1) mouse models of familial ALS possess a hypermetabolic phenotype. The pathophysiological relevance of the bioenergetic defects observed in ALS remains largely elusive. AMP-activated protein kinase (AMPK) is a key sensor of cellular energy status and thus might be activated in various models of ALS. Here, we report that AMPK activity is increased in spinal cord cultures expressing mSOD1, as well as in spinal cord lysates from mSOD1 mice. Reducing AMPK activity either pharmacologically or genetically prevents mSOD1-induced motor neuron death in vitro. To investigate the role of AMPK in vivo, we used Caenorhabditis elegans models of motor neuron disease. C. elegans engineered to express human mSOD1 (G85R) in neurons develops locomotor dysfunction and severe fecundity defects when compared to transgenic worms expressing human wild-type SOD1. Genetic reduction of aak-2, the ortholog of the AMPK α2 catalytic subunit in nematodes, improved locomotor behavior and fecundity in G85R animals. Similar observations were made with nematodes engineered to express mutant tat-activating regulatory (TAR) DNA-binding protein of 43 kDa molecular weight. Altogether, these data suggest that bioenergetic abnormalities are likely to be pathophysiologically relevant to motor neuron disease.
To disaggregate or not to disaggregate, that is not the question

The dichotomy between aggregated and disaggregated states is a false one. It is possible for an aggregated entity to be at many levels of aggregation by storing the relevant data of all levels. In this paper, we propose a scheme, UNIFY, wherein each unit either maintains state information at all allowed levels of aggregation or furnishes it on demand. We present problems with traditional approaches towards aggregation such as temporal inconsistency, chain disaggregation and network flooding. We also deal with issues that we envisage will beset the simulation world such as aggregation of dissimilar entities, dynamic aggregation and the perceiver problem. We describe a framework with which these problems could be solved or tackled better. We study the benefits and disadvantages of UNIFY and propose new directions for research. Finally, we analyze the demands made by our scheme on network, memory and CPU resources.
Ets homologous factor regulates pathways controlling response to injury in airway epithelial cells

Ets homologous factor (EHF) is an Ets family transcription factor expressed in many epithelial cell types including those lining the respiratory system. Disruption of the airway epithelium is central to many lung diseases, and a network of transcription factors coordinates its normal function. EHF can act as a transcriptional activator or a repressor, though its targets in lung epithelial cells are largely uncharacterized. Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq), showed that the majority of EHF binding sites in lung epithelial cells are intergenic or intronic and coincide with putative enhancers, marked by specific histone modifications. EHF occupies many genomic sites that are close to genes involved in intercellular and cell–matrix adhesion. RNA-seq after EHF depletion or overexpression showed significant alterations in the expression of genes involved in response to wounding. EHF knockdown also targeted genes in pathways of epithelial development and differentiation and locomotory behavior. These changes in gene expression coincided with alterations in cellular phenotype including slowed wound closure and increased transepithelial resistance. Our data suggest that EHF regulates gene pathways critical for epithelial response to injury, including those involved in maintenance of barrier function, inflammation and efficient wound repair.
Symbolic pointer analysis revisited

Pointer analysis is a critical problem in optimizing compiler, parallelizing compiler, software engineering and most recently, hardware synthesis. While recent efforts have suggested symbolic method, which uses Bryant's Binary Decision Diagram as an alternative to capture the point-to relation, no speed advantage has been demonstrated for context-insensitive analysis, and results for context-sensitive analysis are only preliminary.In this paper, we refine the concept of symbolic transfer function proposed earlier and establish a common framework for both context-insensitive and context-sensitive pointer analysis. With this framework, our transfer function of a procedure can abstract away the impact of its callers and callees, and represent its point-to information completely, compactly and canonically. In addition, we propose a symbolic representation of the invocation graph, which can otherwise be exponentially large. In contrast to the classical frameworks where context-sensitive point-to information of a procedure has to be obtained by the application of its transfer function exponentially many times, our method can obtain point-to information of all contexts in a single application. Our experimental evaluation on a wide range of C benchmarks indicates that our context-sensitive pointer analysis can be made almost as fast as its context-insensitive counterpart.
Making Friends with Your Neighbors? Agglomeration and Tacit Collusion in The Lodging Industry

Abstract Agglomeration is a location pattern frequently observed in service industries such as hotels. This paper empirically examines whether agglomeration facilitates tacit collusion in the lodging industry using a quarterly data set of hotels in Texas. We jointly model a price and occupancy rate equation under a switching regression model to identify a collusive and noncollusive regime. The estimation results indicate that clustered hotels have a higher probability of being in the potential collusive regime than isolated properties in the same town. The identification of a collusive regime is also consistent with other factors considered to affect the sustainability of tacit collusion.
Optimized Gate Drivers for Internally Commutated Thyristors (ICTs)

Currently, gate commutated thyristors (GCTs) are commonly used for high-power voltage-source inverters due to their superior electrical performance as compared to gate-turn-off (GTO) thyristors and high-voltage insulated-gate bipolar transistors (HV-IGBTs). However, the gate driver of GCTs is more complex than an IGBT driver and has to be attached closely to the GCT, which implies several constructional disadvantages. The internally commutated thyristor (ICT), a GCT with integrated turn-off unit, enables the use of a simplified and more reliable gate driver, maintaining the electrical advantages of the GCT. In this paper, the ICT concept is discussed in relation to standard GCTs. Additionally, an optimized gate driver for the ICT is presented. Close attention is paid to improve reliability and easy adaption to different ICT current ratings.
The Effect of Fine and Coarse Particulate Air Pollution on Mortality: A National Analysis

Background Although many studies have examined the effects of air pollution on mortality, data limitations have resulted in fewer studies of both particulate matter with an aerodynamic diameter of ≤ 2.5 μm (PM2.5; fine particles) and of coarse particles (particles with an aerodynamic diameter > 2.5 and < 10 μm; PM coarse). We conducted a national, multicity time-series study of the acute effect of PM2.5 and PM coarse on the increased risk of death for all causes, cardiovascular disease (CVD), myocardial infarction (MI), stroke, and respiratory mortality for the years 1999–2005. Method We applied a city- and season-specific Poisson regression in 112 U.S. cities to examine the association of mean (day of death and previous day) PM2.5 and PM coarse with daily deaths. We combined the city-specific estimates using a random effects approach, in total, by season and by region. Results We found a 0.98% increase [95% confidence interval (CI), 0.75–1.22] in total mortality, a 0.85% increase (95% CI, 0.46–1.24) in CVD, a 1.18% increase (95% CI, 0.48–1.89) in MI, a 1.78% increase (95% CI, 0.96–2.62) in stroke, and a 1.68% increase (95% CI, 1.04–2.33) in respiratory deaths for a 10-μg/m3 increase in 2-day averaged PM2.5. The effects were higher in spring. For PM coarse, we found significant but smaller increases for all causes analyzed. Conclusions We conclude that our analysis showed an increased risk of mortality for all and specific causes associated with PM2.5, and the risks are higher than what was previously observed for PM10. In addition, coarse particles are also associated with more deaths.
Categorization and the Parsing of Objects

Several models of categorization suggest that fixed inputs (features) are combined together to create cat­ egorization rules. It is also possible that categorization influences what features are perceived and used. This experiment explored the possibility that categorization training influences how an object is decomposed into parts. In the first part of this experiment, subjects learned to categorize objects based on particular sets of line segments. Following categorization training, subjects were tested in a whole-part decomposition task. making speeded judgments of "does whole X contain probe Y. " All diagnostic and nondiagnostic category parts were used as parts within the whole objects, and as probes. Categorization training in the first part of the experiment affected performance on the second task. In particular, subjects were faster to respond when the whole object contained a part that was diagnostic for categorization than when it contained a nondiagnostic part. When the probe was a diagnostic category part subjects were faster to respond that it was present than absent, and when the probe was a nondiagnostic part, subjects were faster to respond that it was absent than that it was present. These results are discussed in terms of perceptual sensitivity, response bias, and the modulating influence of experience.
A general maximum likelihood framework for modulation classification

This paper deals with modulation classification. First, a state of the art is given which is separated into two classes: the pattern recognition approach and the maximum likelihood (ML) approach. Then we propose a new classifier called the general maximum likelihood classifier (GMLC) based on an approximation of the likelihood function. We derive equations of this classifier in the case of linear modulation and apply them to the MPSK/M'PSK problem. We show that the new tests are a generalisation of the previous ones using the ML approach, and don't need any restriction on the baseband pulse. Moreover the GMLC provides a theoretical foundation for many empirical classification systems including those systems that exploit the cyclostationary property of modulated signals.
Opposite hemispheric lateralization effects during speaking and singing at motor cortex, insula and cerebellum

Aside from spoken language, singing represents a second mode of acoustic (auditory-vocal) communication in humans. As a new aspect of brain lateralization, functional magnetic resonance imaging (fMRI) revealed two complementary cerebral networks subserving singing and speaking. Reproduction of a non-lyrical tune elicited activation predominantly in the right motor cortex, the right anterior insula, and the left cerebellum whereas the opposite response pattern emerged during a speech task. In contrast to the hemodynamic responses within motor cortex and cerebellum, activation of the intrasylvian cortex turned out to be bound to overt task performance. These findings corroborate the assumption that the left insula supports the coordination of speech articulation. Similarly, the right insula might mediate temporo-spatial control of vocal tract musculature during overt singing. Both speech and melody production require the integration of sound structure or tonal patterns, respectively, with a speaker's emotions and attitudes. Considering the widespread interconnections with premotor cortex and limbic structures, the insula is especially suited for this task.
Antioxidant properties of the red alga Asparagopsis taxiformis collected on the North West Algerian coast

The aim of the present study was to evaluate the total phenolic and lipid content, fatty acids profiles and in vitro antioxidant activities of aqueous and solvent extracts of the red seaweed Asparagopsis taxiformis, through six different investigations. The present study demonstrated that phenol contents (mg gallic acid/g dry weight) were highest in the aqueous and methanolic extracts, followed by the ethanolic, hydroethanolic and hydromethanolic extracts. The lowest phenol contents were identified in the three remaining extracts: Butanolic, petroleum ether and acetone extracts. Furthermore, the total lipid content of the algae powder amounted to 2.85% of dry weight. The fatty acid methyl ester profiles analysed by gas-liquid chromatography represented indicated that fatty acids comprised 91.0±0.3% of total algae lipids. The saturated to unsaturated fatty acid contents amounted to 23.2±0.1 and 67.9±0.4% respectively. C13:0 (tridecanoate), C15:0 (pentadecanoate) and C17:0 (heptadecanoate) represented 47.4% of the total saturated fatty acids. Notably, the two most abundant unsaturated fatty acids, C15:1 (pentadecenoate) and C18:2 (octadecadienoate) represented 13.4 and 11.4% respectively, of the total unsaturated fatty acid content. Furthermore, the results of the antioxidant screening performed at 1.0 mg/ml, revealed that aqueous and methanolic extracts exhibited higher inhibition against superoxide and nitric oxide radicals and excellent radical scavenging activity [with half maximal inhibitory concentration (IC50) values 5.1 and 15.0 µg/ml, respectively], demonstrating improved antioxidant behavior when compared with standard ascorbic acid (which has an IC50 value of 3.7 µg/ml). Scavenging activity of the aqueous and methanolic extracts exhibited a strong peroxidation inhibition against linoleic acid emulsion system at a concentration of 300 µg/ml in comparison to the butylated hydroxyltoluene. Although all the studied extracts exhibited ferric reducing power, the aqueous and methanolic extracts had greater hydrogen donating ability. By contrast, hydromethanolic, ethanolic, hydroethanolic, butanolic, acetone and petroleum ether extracts exhibited weak antioxidant behavior. The antioxidant activity of potent seaweed species identified in the current study means that as well as being used as a functional food, they may be developed as novel pharmaceutical compounds and may be used as anti-ageing agents.
Grand rounds at the National Institutes of Health: HDAC inhibitors as radiation modifiers, from bench to clinic

Glioblastoma multiforme (GBM) is the most common and aggressive malignant brain tumour. Patients afflicted with this disease unfortunately have a very poor prognosis, and fewer than 5% of patients survive for 5 years from the time of diagnosis. Therefore, improved therapies to treat this disease are sorely needed. One such class of drugs that have generated great enthusiasm for the treatment of numerous malignancies, including GBM, is histone deacetylase (HDAC) inhibitors. Pre‐clinical data have demonstrated the efficacy of various HDAC inhibitors as anticancer agents, with the greatest effects shown when HDAC inhibitors are used in combination with other therapies. As a result of encouraging pre‐clinical data, numerous HDAC inhibitors are under investigation in clinical trials, either as monotherapies or in conjunction with other treatments such as chemotherapy, biologic therapy or radiation therapy. In fact, two actively studied HDAC inhibitors, vorinostat and depsipeptide, were recently approved for the treatment of refractory cutaneous T cell lymphoma. In this review, we first present a patient with GBM, and then discuss the pathogenesis, epidemiology and current treatment options of GBM. Finally, we examine the translation of pre‐clinical studies that have demonstrated HDAC inhibitors as potent radiosensitizers in in vitro and in vivo models, to a phase II clinical trial combining the HDAC inhibitor, valproic acid, along with temozolomide and radiation therapy for the treatment of GBM.