Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of health-related quality of life with dual use of prescription and over-the-counter nonsteroidal antiinflammatory drugs.

OBJECTIVE Inadequate prescription therapy pain management, lack of doctor-patient communication about over-the-counter (OTC) medications, and easy accessibility of OTC medications may contribute to patients using more than 1 medication to manage pain. It is well established that taking multiple nonsteroidal antiinflammatory drugs (NSAIDs) can lead to serious gastrointestinal problems. Little is known about whether use of more than 1 NSAID (i.e., dual use) is related to patient self-reported outcomes, specifically health-related quality of life (HRQOL). We hypothesized that dual use of NSAIDs would be associated with reduced HRQOL. METHODS Patients from a managed care organization who filled > or =1 NSAID prescription over a 6-month period were eligible for a telephone interview focusing on NSAID use, which included the Short Form 12 (SF-12) Health Survey. Dual use was defined as taking 2 NSAIDs, either prescription or OTC, at least twice weekly during the past month. A multivariable linear regression model examined the association between dual use and the Physical Component Summary score (PCS-12) from the SF-12. RESULTS Dual use was associated with lower PCS-12 scores indicating poorer HRQOL, after controlling for clinical and demographic factors. CONCLUSION Patients may self-manage their pain to improve their daily activities by taking more than 1 NSAID. However, by attempting to obtain symptom relief, patients may be putting themselves at risk for complications. Providers are likely unaware of patients' risk. Future research should evaluate the causal factors contributing to dual use.
Association between the ACE I/D gene polymorphism and progressive renal failure in autosomal dominant polycystic kidney disease: A meta-4 analysis

Objective The angiotensin converting enzyme insertion/deletion ( ACE I/D) gene polymorphism is involved in a wide range of clinical outcomes. This makes ACE I/D an 104 important genetic marker. Updating the genetic profile of ACE I/D and raising the evidence 105 for its role in renal disease is therefore needed. Reported associations of ACE I/D with 106 progressive renal failure (PRF) in autosomal dominant polycystic kidney disease (ADPKD) 107 have been inconsistent, prompting a meta-analysis to obtain more precise estimates. Methods Multi-database search yielded 18 articles for inclusion in the meta-analysis. Risks 109 (odds ratios [ORs] and 95% confidence intervals) were estimated by comparing the ACE 110 genotypes (heterozygote ID, homozygotes DD and II). Heterogeneous (random-effects) 111 pooled associations were subjected to outlier treatment which yielded fixed-effects outcomes 112 and split the findings into pre- (PRO) and post- (PSO) outlier status. Subgroup analysis was 113 based on ethnicity (Asian/Caucasian) and minor allele frequency (maf). The ≥ 0.50 maf 114 subgroup indicates higher frequency of the variant II genotype over that of the common DD 115 genotype, otherwise, the subgroup is considered < 0.50 maf. Stability of the associative 116 effects was assessed with sensitivity treatment. Temporal trend of association was examined 117 with cumulative meta-analysis. Caucasian and 124 < 0.50 maf subgroup effects were: (i) non-heterogeneous (fixed-effects) at the outset, which 125 did not require outlier treatment and (ii) non-significant (ORs 0.91-1.10, P a = 0.15-0.79). 126 Cumulative meta-analysis revealed increased precision of effects over time. 127 Conclusions PRF in ADPKD impacted the Asian and ≥ 0.50 maf subgroups where DD 128 homozygote carriers were up to 6-fold susceptible. The high magnitude of these effects 129 were highly significant, homogeneous and robust indicating strong evidence of association.
abnormal prefrontal brain activation during a verbal fluency task in bipolar disorder patients with psychotic symptoms using multichannel Nirs

Purpose: Bipolar disorder (BD) patients with psychotic symptoms (BDp) worsens prognosis and decreases rates of recovery. The study investigated cognitive performance and brain function between BD patients in depressive episode with and without psychotic symptoms to find potential neurobiological markers associated with psychotic features of BD patients in depressive episode. Patients and methods: Thirty-one patients without psychotic symptoms and 29 patients with psychotic symptoms diagnosed with bipolar I disorder with a current depressive episode were included in the present study. The neural function of prefrontal cortex (PFC) and cognitive performance among BDp, BD patients without psychotic symptoms, and 23 healthy controls (HC) were examined using near-infrared spectroscopy during verbal fluency task (VFT). Results: 1) Both the BD groups exhibited significantly worse performance of VFT and lower activation of oxygenated hemoglobin (oxy-Hb) changes in the bilateral ventrolateral PFC compared with the HC group. 2) Within the BD group, VFT performance was not significantly different. 3) The prefrontal activation of oxy-Hb changes in the BDp patients was significantly lower than that in the BD patients without psychotic symptoms in the right dorsolateral PFC. 4) Activation of oxy-Hb changes in right dorsolateral PFC was negatively correlated with the severity of psychotic symptoms in BDp patients. Conclusion: The prefrontal function differs between BD patients in depressive episode with or without psychotic symptoms measured with near-infrared spectroscopy.
Non-unique factorizations in block semigroups and arithmetical applications

We study the structure of non-unique factorizations in block semigroups over finite abelian groups G with #C7 > 3 . As an application we obtain asymptotic formulas for certain functions associated with the non-uniqueness of factorizations in algebraic number fields. § 1 . Fac tor i za t ions in b lock s e m i g r o u p s Throughou t this paper , let G be an additively writ ten finite abelian group with # G > 3 . We recall briefly the notion of block semigroups . Let J~(G) he the multiplicative free abelian monoid with basis G . The elements of J(G) are of the form geG where vg(S) G No , and we set B(G) = [Be T(G) | Y, 9()<J = ° e G } ; gee, B(G) is called the block semigroup over G , the elements of B(G) arc called blocks. More generally, for a subset Go C G , we set B(GQ)={BeB(G)\ vg(B) = 0 for all geG\G()}. T h e semigroups B(GQ) are Krull monoids; if Go -= G , then the embedding B(G) —> J~(G) is a divisor theory, the divisor class group is isomorphic to G , and every class contains exactly one prime divisor; see [7, Beispiel 6j and [G, §3]. A M S S u b j e c t C l a s s i f i c a t i o n (1991): Primary 11R27, 11R44. Secondary 20M14. K e y w o r d s : Factorizations, Block semigroups.
Individually Weighted-Average Models: Testing a Taxonomic SEM Approach Across Different Multidimensional/Global Constructs Because the Weights “Don’t Make No Nevermind”

From the time of William James, psychologists have posited individually importance-weighted-average models (IWAMs) in which weighting specific attributes by individual measures of importance improves prediction of the global outcome measures. Because IWAMs cause much confusion, we briefly review a general taxonomic paradigm and structural equation models for testing IWAMs, and demonstrate its application for 2 simulated and 3 diverse “real” data applications (multidimensional measures of self-concept, quality of life, and job satisfaction). Consistent across the real data applications and previous research more generally, there is surprisingly little support for IWAMs when tested appropriately. In these diverse tests of IWAMs we integrate new approaches such as exploratory structural equation modeling (SEM), alternative approaches to constructing latent interactions, application of bifactor models, modeling method and item-wording effects, and the juxtaposition of model evaluation in relation to goodness of fit (typically used in SEM studies) and variance explained (typically used in multiple regression tests of IWAMs).
A P ] 1 2 M ar 2 01 8 QUALITATIVE PROPERTIES OF POSITIVE SINGULAR SOLUTIONS TO NONLINEAR ELLIPTIC SYSTEMS WITH CRITICAL EXPONENT

We studied the asymptotic behavior of local solutions for strongly coupled critical elliptic systems near an isolated singularity. For the dimension less than or equal to five we prove that any singular solution is asymptotic to a rotationally symmetric Fowler type solution. This result generalizes the celebrated work due to Caffarelli, Gidas, and Spruck [1] who studied asymptotic proprieties to the classic Yamabe equation. In addition, we generalize similar results by Marques [11] for inhomogeneous context, that is, when the metric is not necessarily conformally flat. 2000 Mathematics Subject Classification: 35J60, 35B40, 35B33, 53C21.
Ehrenfest statistical dynamics in chemistry: study of decoherence effects and of its equilibrium distribution

We investigate decoherence, pointer states and the equilibrium distribution in the Ehrenfest Statistical Dynamics (ESD) model by considering ensembles of trajectories of simple but realistic molecular models, consisting of two classical cores and one quantum electron. The Ehrenfest model is sometimes discarded as a valid approximation to non-adiabatic coupled quantum-classical dynamics because it does not describe the decoherence in the quantum subsystem, which should exist due to its interaction with the classical subsystem. However, any rigorous statistical analysis of the Ehrenfest dynamics, such as the described ESD formalism described, proves that some decoherence-like effects, in particular purity decreasing, exist when ensembles of trajectories are considered. In this article, decoherence in ESD is studied by measuring the change in the quantum subsystem purity and by analysing the appearance of pointer states to which the system decoheres, which for our example are the eigenstates of the electronic Hamiltonian. Furthermore, following the formalism presented in previous works, the true equilibrium distribution for the ESD determined following the Balescu approach is used in the definition of potential energy surfaces dependent on the temperature and in the computation of the temperature dependence of the internuclear distance.
English-based linking to the ESWN lexicon and WordNet approach

Deep neural networks have shown good data modelling capabilities when dealing with challenging and large datasets from a wide range of application areas. Convolutional Neural Networks (CNNs) offer advantages in selecting good features and Long Short-Term Memory (LSTM) networks have proven good abilities of learning sequential data. Both approaches have been reported to provide improved results in areas such image processing, voice recognition, language translation and other Natural Language Processing (NLP) tasks. Sentiment classification for short text messages from Twitter is a challenging task, and the complexity increases for Arabic language sentiment classification tasks because Arabic is a rich language in morphology. In addition, the availability of accurate pre-processing tools for Arabic is another current limitation, along with limited research available in this area. In this paper, we investigate the benefits of integrating CNNs and LSTMs and report obtained improved accuracy for Arabic sentiment analysis on different datasets. Additionally, we seek to consider the morphological diversity of particular Arabic words by using different sentiment classification levels.
Cohomological Induction over Q and Frobenius-Schur indicators for (g,K)-modules

In this paper we lay the foundations of a general theory of (g,K)modules over any field of characteristic 0. After introducing appropriate notions of rationality, we prove a fundamental Homological Base Change Theorem, which has important consequences for the existence of rational models of Harish-Chandra modules. We investigate geometric properties of Harish-Chandra modules and set up a theory of cohomological induction over any field of characteristic 0. Furthermore we discuss Frobenius-Schur indicators for (g,K)-modules, which are particularly useful in the study of descent in imaginary quadratic extensions. As an application of our theory we prove that, maybe somewhat surprisingly, cohomological representations of GLn(k ⊗Q R), k a number field, are defined over the field of rationality, which agrees with the field of definition of the infinitesimal character. This is an archimedean analog of a well known result of Clozel in the non-archimedean case and proves the existence of rational structures on regular algebraic automorphic representations.
Content-Based Image Query on Color Feature in the Image Databases Obtained from DICOM Files

The paper presents a qualitative study of the content-based image query process over the image databases resulting from the standard DICOM files produced by the medical devices used in the diagnosis process. There were implemented and studied several methods of transformation and quantization of the color space (HSV quantized at 166 colors, RGB quantized at 64 colors and CIE-LUV quantized at 512 colors) and also three methods for dissimilitude computing between the query and the target image (Euclidian distance, histograms intersection and quadratic distance between histograms). The algorithms that permit the extraction of the alphanumeric and imagistic information from the standard DICOM files and the algorithms for transforming and quantization of the color spaces are also presented. The experimental results displayed in a tabular and graphical form, permit the formulation of some useful conclusion, because the color medical images are more complex than the usual images
Whitening and Coloring transform for GANs

Batch Normalization (BN) is a common technique used both in discriminative and generative networks in order to speed-up training. On the other hand, the learnable parameters of BN are commonly used in conditional Generative Adversarial Networks for representing class-specific information using conditional Batch Normalization (cBN). In this paper we propose to generalize both BN and cBN using a Whitening and Coloring based batch normalization. We apply our method to conditional and unconditional image generation tasks and we show that replacing the BN feature standardization and scaling with our feature whitening and coloring improves the final qualitative results and the training speed. We test our approach on different datasets and we show a consistent improvement orthogonal to different GAN frameworks. Our CIFAR-10 supervised results are higher than all previous works on this dataset.
Adversarial Feature Learning of Online Monitoring Data for Operation Reliability Assessment in Distribution Network

With deployments of online monitoring systems in distribution networks, massive amounts of data collected through them contain rich information on the operating status of distribution networks. By leveraging the data, based on bidirectional generative adversarial networks (BiGANs), we propose an unsupervised approach for online distribution reliability assessment. It is capable of discovering the latent structure and automatically learning the most representative features of the spatio-temporal data in distribution networks in an adversarial way and it does not rely on any assumptions of the input data. Based on the extracted features, a statistical magnitude for them is calculated to indicate the data behavior. Furthermore, distribution reliability states are divided into different levels and we combine them with the calculated confidence level $1-\alpha$, during which clear criteria is defined empirically. Case studies on both synthetic data and real-world online monitoring data show that our proposed approach is feasible for the assessment of distribution operation reliability and outperforms other existed techniques.
Characteristics of yttrium fluoride and yttrium oxide coatings for plasma process equipment prepared by atmospheric plasma spraying

In this study, yttrium fluoride (YF3) and yttrium oxide (Y2O3) coatings were prepared by an atmospheric plasma spraying technique and characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), and X-ray photoelectron spectroscopy (XPS). YF3 powders were sprayed at various plasma spraying powers of 9, 15, and 21 kW. The XRD result indicates that the YF3 coating shows preferred orientations and was well crystallized. The XPS results revealed a strong Y–F bond on the YF3 coating surface. A porosity value analysis showed that the porosity of the YF3 coating was lower than that of the Y2O3 coating. Moreover, the dielectric strength of the YF3 coating (22.65 kV/mm) was higher than that of the Y2O3 coating (14.42 kV/mm). This confirms that the YF3 coating exhibits a breakdown voltage of 4.97 kV, which is more than 1.5 times higher than that observed for the Y2O3 coating (3.29 kV). These results indicate that the YF3 coating has better mechanical and dielectric properties than the Y2O3 coating, indicating that the YF3 coating is a very attractive novel antiplasma and corrosion-resistant material.
Infant and young child feeding (IYCF) practices in Ethiopia and Zambia and their association with child nutrition: Analysis of demographic and health survey data

Data from the 2005 Ethiopia Demographic and Health Survey (EDHS) and the 2007 Zambia Demographic Health Survey (ZDHS) were analyzed to examine the association between World Health Organization (WHO) recommended IYCF indicators and nutritional status among children 0- 23 months of age in Ethiopia and Zambia. A total of 1810 and 2512 children within this age group from Ethiopia and Zambia , respectively , were included in the analysis. Exclusive breast -feeding among children 0- 5.9 months of age is low in both Ethiopia (43 % ) and Zambia (51 % ). Timely introduction of complementary food is lower in Ethiopia (61 %) compared to Zambia (90 %). Only 7 percent of children between 6- 23 months of age consumed diets that met the minimum dietary diversity requirement of four or more food groups consumed per day compared to 37 % in Zambia. Multiple linear and logistic regression analyses using appropriate measures to account for the complex survey design were applied to examine the associations between IYCF practices and child anthropometry. Linear regression results show that exclusive breast -feeding (EBF) is positively associated with weight -for -height z -score (WHZ) (effect size (ES) 0.65; p<0.001) and weight -for- age z -score (W AZ) (ES 0.28; p<0.01) in Zambia. In Ethiopia, EBF under 6 months of age is negatively associated with height -for- age z - score (HAZ) (ES 0.81; p<0.01). Timely introduction of complementary food between 6- 8 months of age was positively associated with HAZ (ES 1.19; p<0.01) in Zambia. Higher dietary diversity score was associated with higher HAZ (ES 0.23, p<0.001 in Ethiopia; ES 0.12, p<0.01 in Zambia) and WAZ (ES 0.17, p<0.001 in Ethiopia; ES 0.04, p<0.10 in Zambia) in both countries. The findings demonstrate the need to reinforce age - appropriate IYCF practices to address child undernutrition. Special attention is needed to improve the complementary feeding practices, particularly diet diversity for children 6 -23 months of age , while sustaining a focus on EBF among children under 6 months of age, in order to improve overall nutrition al status of young children in Ethiopia and Zambia.
Optimization of supercritical fluid extraction method for detection of fluquinconazole and tetraconazole in soil using gas chromatography and confirmation using GC-MS: application to dissipation kinetics.

The aim of this study was to establish an analytical method to detect fluquinconazole and tetraconazole in soil using supercritical fluid extraction (SFE) and gas chromatography (GC). The optimal extraction conditions for SFE were: temperature, 60 °C; pressure, 280 kg/cm(2) ; extraction time, 50 min; and a 10% modifier ratio. The linearity of the calibration curves was good and yielded a determination coefficient (R(2) ) ≥ 0.995. The soil samples were fortified with known quantities of the analytes at three different concentrations (0.01, 0.02 and 0.1 µg/g for fluquinconazole; 0.05, 0.1 and 0.5 µg/g for tetraconazole), and the recoveries ranged between 83.7 and 94.1%. The intra- and inter-day relative standard deviations were 1.3-10.6 and 2.2-11.9% for fluquinconazole and tetraconazole, respectively. The limit of detection and limit of quantitation were 0.002 and 0.01 µg/g for fluquinconazole and 0.01 and 0.05 for tetraconazole, respectively. The method was successfully applied to the analysis of soil residues collected from an onion field. The results show that a combination of SFE and GC can be used as an environmentally friendly technique to detect fungicides in soil.
Nutritional and functional properties of defatted wheat protein isolates.

Nutritional and functional properties of wheat protein isolate (WPI), wheat germ protein isolate (WGPI) and their albumin fractions were studied. The results showed that wheat protein isolates and their albumin fractions an excellent balance of all essential amino acids, with a relatively high level of glutamic acid, aspartic acid, glycine, arginine, alanine and valine. SDS-PAGE analysis showed that molecular weights distribution of wheat protein isolates and their albumin fractions were found to be in the range (19-67 kDa). Protein digestibility (%) of albumin fractions was higher than that of protein isolates. The results revealed that wheat protein isolates had excellent water retention (especially at pH 8.0 and 70oC) and high solubility at pH 9.0. The emulsifying activity index of WGPI at pH values (1.0 to 8.0) was higher than that of WPI. Emulsifying capacity and stability of albumin fractions were higher than that of protein isolates, but their fat absorption capacities were lower than that of protein isolates. Wheat protein isolates and their albumin fractions had good foaming capacity and stability. WGPI showed higher SDS-binding capacity than others. The findings on wheat protein isolates are important for their potential application as functional food ingredients.
American Indian and Alaska Native Mental Health Research: The Journal of the National Center

The relationship of social networks and social support to the psychosocial functioning (self-efficacy, self-esteem, anxiety, depression, and hostility) of 159 American Indian women undergoing residential substance abuse treatment at Native American Connections was assessed. Social support and active participation by clients’ families during treatment were found to be significantly related to improved psychosocial functioning. No relationship was found between positive social networks and psychosocial improvement. Interventions for substance abuse should aim to include family and friends in clients’ treatment.