Miracle-dz/UniFAR-FTUs huggingface dataset:
ELIMINACIÓN DE Lawsonia intracellularis POR CERDOS DE ENGORDE EN DOS SISTEMAS DE PRODUCCIÓN EN YUCATÁN, MÉXICO Shedding of Lawsonia intracellularis by Fattening Pigs in Two Production Systems in Yucatan, Mexico

A longitudinal study was carried out to determine the frequency and incidence of Lawsonia intracellularis in fattening pigs in a one-site farm and a multi-site farm in Yucatan, Mexico. Fiftynine and 58 pigs negative to L. intracellularis from the one-site farm and the multi-site farm were used, respectively. Pigs were monitored every 14 days from weeks, one to 21 of age. The bacterium in faeces was detected by PCR test. All pigs from both farms shed L. intracellularis at least once by week 11 of age; the greatest number of positive pigs were detected at week 7. The cumulative incidence was 100% in both farms and the incidence density rates in the one-site farm and the multisite farm were 0.31 and 0.26 pigs per each 14-days, respectively. The result of this study gives some information for the implementation of schemes of prevention, control and eradication of L. intracellularis.
Injury-stimulated Hedgehog signaling promotes regenerative proliferation of Drosophila intestinal stem cells

The Rockefeller University Press $30.00 J. Cell Biol. Vol. 208 No. 6 807–819 www.jcb. org/cgi/doi/10.1083/jcb.201409025 JCB 807 *A. Tian and Q. Shi contributed equally to this paper. Correspondence to Jin Jiang: jin.jiang@utsouthwestern.edu Abbreviations used in this paper: ACI, after clone induction; Ci, Cubitus interruptus; EB, enteroblast; EE, enteroendocrine cell; Hh, Hedgehog; ISC, intestine stem cell; MARCM, mosaic analysis with a repressible cell marker; PH3, phosphohistone 3; Ptc, Patched; Puc, Puckered; Smo, Smoothened. Introduction
The atmospheric electric global circuit

The hypothesis that world thunderstorm activity represents the generator for the atmospheric electric current flow in the earth atmosphere between ground and the ionosphere is based on a close correlation between the magnitude and the diurnal variation of the supply current (thunderstorm generator current) and the load current (fair weather air-earth current density integrated over the earth surface). The advantages of using lightning survey satellites to furnish a base for accepting or rejecting the thunderstorm generator hypothesis are discussed.
Technology Informatics Guiding Education Reform – TIGER

Summary Background: While health informatics recommendations on competencies and education serve as highly desirable corridors for designing curricula and courses, they cannot show how the content should be situated in a specific and local context. Therefore, global and local perspectives need to be reconciled in a common framework. Objectives: The primary aim of this study is therefore to empirically define and validate a framework of globally accepted core competency areas in health informatics and to enrich this framework with exemplar information derived from local educational settings. Methods: To this end, (i) a survey was deployed and yielded insights from 43 nursing experts from 21 countries worldwide to measure the relevance of the core competency areas, (ii) a workshop at the International Nursing Informatics Conference (NI2016) held in June 2016 to provide information about the validation and clustering of these areas and (iii) exemplar case studies were compiled to match these findings with the practice. The survey was designed based on a comprehensive compilation of competencies from the international literature in medical and health informatics. Results: The resulting recommendation framework consists of 24 core competency areas in health informatics defined for five major nursing roles. These areas were clustered in the domains “data, information, knowledge”, “information exchange and information sharing”, “ethical and legal issues”, “systems life cycle management”, “management” and “biostatistics and medical technology”, all of which showed high reliability values. The core competency areas were ranked by relevance and validated by a different group of experts. Exemplar case studies from Brazil, Germany, New Zealand, Taiwan/China, United Kingdom (Scotland) and the United States of America expanded on the competencies described in the core competency areas. Conclusions: This international recommendation framework for competencies in health informatics directed at nurses provides a grid of knowledge for teachers and learner alike that is instantiated with knowledge about informatics competencies, professional roles, priorities and practical, local experience. It also provides a methodology for developing frameworks for other professions/disciplines. Finally, this framework lays the foundation of cross-country learning in health informatics education for nurses and other health professionals.
Les Crustacés souterrains, indicateurs naturels de l'aquifère alluvial de l'Ariège (France, Pyrénées) : cas de la conception de processus dynamiques

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Les Crustacés souterrains, indicateurs naturels de l’aquifère alluvial de l’Ariège (France, Pyrénées) Pascal Dumas
Biomarkers for depression: recent insights, current challenges and future prospects

: A plethora of research has implicated hundreds of putative biomarkers for depression, but has not yet fully elucidated their roles in depressive illness or established what is abnormal in which patients and how biologic information can be used to enhance diagnosis, treatment and prognosis. This lack of progress is partially due to the nature and heterogeneity of depression, in conjunction with methodological heterogeneity within the research literature and the large array of biomarkers with potential, the expression of which often varies according to many factors. We review the available literature, which indicates that markers involved in inflammatory, neurotrophic and metabolic processes, as well as neurotransmitter and neuroendocrine system components, represent highly promising candidates. These may be measured through genetic and epigenetic, transcriptomic and proteomic, metabolomic and neuroimaging assessments. The use of novel approaches and systematic research programs is now required to determine whether, and which, biomarkers can be used to predict response to treatment, stratify patients to specific treatments and develop targets for new interventions. We conclude that there is much promise for reducing the burden of depression through further developing and expanding these research avenues. representations of hypothalamic–pituitary–adrenal (HPA) axis hyperactivation, thyroid dysfunction, reduced dopamine, noradrenaline or 5-hydroxyindoleacetic acid, increased glutamate, increased superoxide dismutase and lipid peroxida-tion, attenuated cyclic adenosine 3 ′ ,5 ′ -monophosphate and mitogen-activated protein kinase pathway activity, increased alterations to tryptophan, kynurenine,
Remote Sensing of Sea Ice in the Northern Sea Route: Studies and Applications

History of the Northern Sea Route. - Sea-ice conditions in the Arctic and in the Northern Sea Route. - Sea ice monitoring. - Satellite remote sensing of sea ice. - Sea ice conditions observed from satellite remote-sensing data. - Application of SAR for ice navigation in the Northern Sea Route. - Climatic variability of sea ice in the Arctic. - Afterword.
Anti-nociceptive and Anti-inflammatory Properties of Ilex latifolia and its Active Component, 3,5-Di-caffeoyl Quinic Acid Methyl Ester

− The present study was conducted to investigate anti-nociceptive and anti-inflammatory effects of the leaves of Ilex latifolia Thunb (I. latifolia) in in vivo and in vitro. Writhing responses induced by acetic acid and formalinand thermal stimuli (tail flick and hot plate tests)-induced pain responses for nociception were evaluated in mice. I. latifolia (50 – 200 mg/kg, p.o.) and ibuprofen (100 mg/kg, p.o.), a positive non-steroidal antiinflammatory drug (NSAID), inhibited the acetic acid-induced writhing response and the second phase response (peripheral inflammatory response) in the formalin test, but did not protect against thermal nociception and the first phase response (central response) in the formalin test. These results show that I. latifolia has a significant anti-nociceptive effect that appears to be peripheral, but not central. Additionally, I. latifolia (50 and 100 μg/mL) and 3,5-di-caffeoyl quinic acid methyl ester (5 μM) isolated from I. latifolia as an active compound significantly inhibited LPS-induced NO production and mRNA expression of the pro-inflammatory mediators, iNOS and COX-2, and the pro-inflammatory cytokines, IL-6 and IL-1β, in RAW 264.7 macrophages. These results suggest that I. latifolia can produce antinociceptive effects peripherally, but not centrally, via anti-inflammatory activity and supports a possible use of I. latifolia to treat pain and inflammation.
Cardiomyopathy Identification of a Gene Expression Profile That Differentiates Between Ischemic and

Conte, Giovanni Parmigiani, Leslie W. Miller, Yingjie Chen, Jennifer L. Hall, Joe G.N. Garcia Michelle M. Kittleson, Shui Q. Ye, Rafael A. Irizarry, Khalid M. Minhas, Gina Edness, John V. Nonischemic Cardiomyopathy Identification of a Gene Expression Profile That Differentiates Between Ischemic and Print ISSN: 0009-7322. Online ISSN: 1524-4539 Copyright © 2004 American Heart Association, Inc. All rights reserved. is published by the American Heart Association, 7272 Greenville Avenue, Dallas, TX 75231 Circulation doi: 10.1161/01.CIR. 0000148178.19465. 11 2004;110:3444-3451; originally published online November 22, 2004; Circulation. http://circ.ahajournals. org/content/110/22/3444 World Wide Web at: The online version of this article, along with updated information and services, is located on the http://circ.ahajournals. org/content/suppl/2004/11/29/01.CIR. 0000148178.19465. 11.DC1. html Data Supplement (unedited) at:
Determination of the cosmological parameters in the framework of the Friedmann-Lemaître model

A century after the Universe model of Friedmann-Lemaitre, the observations comfort it with a cosmological constant Λ and a dark matter component without pressure (dust) and cold dominating the baryonic one, which is denoted by ΛCDM model or standard model. The acceleration of the expansion of the Universe confirmed by the Hubble diagram of the supernovae in 1998 imposes a strictly positive value on the cosmological constant. My thesis work focuses on the estimation of the cosmological parameters values of the standard model using the null correlation technique. This approach has the advantage of being more robust than the usual techniques. In particular, it is not necessary to specify the luminosity function, it is derived from the data analysis. In addition, it accounts for the Malmquist bias due to selection effects on apparent magnitude. This work deals with modelling samples of the quasar event and the supernova event, which enables us to generate samples in order to validate the statistical approaches. We used data from the Sloan Digital Sky Survey (SDSS) for quasars, and the SuperNova Legacy Survey (SNLS) and SDSS-II for supernovae. The Statistical inferences suggest a Universe spatially Closed and a weaker presence of dark matter than that in the Standard model. Such a statistical analysis can be used to constrain dark energy models. Application of this technique might be useful for analyzing of clusters of galaxies observed through the effect of Sunyaev Zel'dovich, in view of deriving the cosmological model and provide an answer to the question of the contribution of massive neutrinos in the formation of clusters in the primordial era of the Universe.
Convexity and continuous linear operators with respect to the f-norm

Abstract In this paper, the analogues of various results are obtained in terms of a generalization of the norm called the f-norm. Convex sets are defined with respect to the f-norm and properties obtained. In addition, conditions are presented for the continuity of linear operators and also for the existence of a continuous inverse of a linear operator.
Modulatory interactions of resting-state brain functional connectivity in major depressive disorder

Background: Major depressive disorder (MDD) is mediated by chronic dysregulation of complex neural circuits, particularly the specific neurotransmitters or other neural substrates. Recently, both increases and decreases in resting-state functional connectivity have been observed in patients with MDD. However, previous research has only assessed the functional connectivity within a specific network or some regions of interests, without considering the modulatory effects of the entire brain regions. To fill in the research gap, this study employed PPI (physiophysiological interaction) to investigate the functional connectivity in the entire brain regions. Apart from the traditional PPI used for cognitive research, current PPI analysis is more suitable for exploring the neural mechanism in MDD patients. Besides, this PPI method does not require a new cognitive estimation task and can assess the modulatory effects on different part of brain without prior setting of regions of interest. Methods: First, we recruited 76 outpatients with major depressive disorder, and conducted MRI scan to acquire structural and functional images. As referred to the previous study of resting-state networks, we identified eight well-defined intrinsic resting-state networks by using independent component analysis. Subsequently, we explored the regions that exhibited synchronous modulatory interactions within the network by executing PPI analysis. Results: Our findings indicated that the modulatory effects between healthy crowed and patient are different. By using PPI analysis in neuroimaging can help us to understand the mechanisms of neural disruptions in MDD patients. In addition, this study provides new insight into the complicated relationships between three or more regions of brain, as well as different brain networks functions in external and internal. Conclusion: Furthermore, the functional connectivity may deepen our knowledge regarding the complex brain functions in MDD patients and suggest a new multimodality treatment for MDD including targeted therapy and transcranial magnetic stimulation.
Zoonotic Source Attribution of Salmonella enterica Serotype Typhimurium Using Genomic Surveillance Data , United States Appendix 2 1 . Sequencing and Selection of Salmonella enterica serotype Typhimurium Genomes

A total of 127 human clinical isolates were grown in tryptic soy broth (TSB) overnight. Genomic DNA was extracted by using the GenElute Genomic DNA isolation kit (SigmaAldrich, St. Louis, MO, USA). Sequencing libraries were prepared using Illumina TruSeq DNA library kit (San Diego, CA, USA) and sequenced on an Illumina HiSeq instrument (San Diego, CA, USA) according to manufacturer’s instruction. Trimmomatic v0.32 (1) was used to remove low-quality reads. The leading 3 and the trailing 3 nucleotides were removed from the reads, and a 4-nucleotide sliding window was used to remove nucleotides from the 3 ends when the average Phred score dropped below 20. Then the raw reads were assembled into draft genomes using SPAdes v3.7. 0 by default settings (2). The quality of publicly available S. enterica Typhimurium draft genomes used in this study was assessed by QUAST v4.5 (3). Assemblies with an N50 value <100,000 were excluded from further analysis.
In Vitro Antimicrobial Activity Screening of Leucoagaricus leucothites and Determination of the Ethanol Extract Composition By Gas Chromatography/Mass Spectrometry

Macrofungi are good food resources, which have not only medicinal properties but are nutritive as well. For centuries they have been used for preventing several diseases including cancer, hypercholesterolemia and hypertension. They are also known to present antimicrobial activity, thus the aim of the present study is to put forward antimicrobial activity of ethanol extract of Leucoagaricus leucothites (Vittad.) Wasser 1977, a macro fungi and in addition to determine the chemical composition by Gas Chromatography-Mass Spectrometry. Nineteen bacteria strains and one yeast strain are used in antimicrobial screening. According to the data obtained from the study L. leucothites presented both antibacterial and antifungal activity against the bacteria and yeast strains used at different concentrations with different levels. Although there are some previous studies, it can be proposed that this study is the first detailed screening report regarding the antibacterial and antifungal potential of L. leucothites and the compounds found in L. leucothites ethanol extract.
attitudes toward long-acting injectable antipsychotics among patients with schizophrenia in Japan

Background: Long-acting injectable antipsychotics (LAIs) are regarded as an important alternative to oral medication for patients with schizophrenia. However, LAIs remain underutilized in clinical practice. Aims: The aims of this investigation were to 1) obtain information on patients’ attitudes toward LAIs and 2) assess factors associated with patients’ acceptance of LAIs, and 3) identify predictors of the discrepancy between patients and referring psychiatrists’ opinions regarding the appropriateness for LAIs. Methods: Anonymized data were collected from a questionnaire distributed to 159 patients with schizophrenia and their referring psychiatrists at three psychiatric hospitals between February 2014 and July 2014. The patients completed an original questionnaire developed to evaluate their attitudes regarding LAIs. Regarding the appropriateness of LAI prescription, patients and their referring psychiatrists were asked to rate, on a 5-point scale, how appropriate they felt the depot prescription was for the patients. The participants also answered instruments to assess symptom severity, antipsychotic-induced extrapyramidal symptoms, functions, quality of life, and self-esteem levels. Results: Patients currently on LAIs have favorable attitudes toward LAIs with respect to side effects, relapse prevention, efficacy, pain, and cost. Expectation of relapse prevention was significantly associated with patients’ acceptance of LAIs (answering that those drugs are appropriate for their own treatment). In addition, the discrepancy between the patients’ and referring psychiatrists’ opinions regarding the appropriateness of LAI treatment was significantly associated with symptom severity, expectation of relapse prevention, belief that LAIs are painful, and belief that LAIs offer a reduced range of antipsychotic choices. Conclusion: Attitudes toward LAIs need to be considered when deciding whether to prescribe this formulation. Access to information on LAIs, including their benefit in relapse prevention, might enhance the acceptance and use of this formulation among patients with schizophrenia.
Pendidikan Teknik

The competition in product sales between the pharmaceutical industry in Indonesia is getting tougher. Market conditions and demands are also increasingly complicated and unpredictable. Therefore, the pharmaceutical industry must have strategic planning in the marketing field, where the offer is available. Hitherto, PT. Metiska Farma has applied a prediction method for the needs of production plan. However, the results of applying such forecasting method are inaccurate, because, besides being less effective, this method is done manually. In the study presented in this paper, a prediction test based on Machine Learning techniques was conducted, which was the Long Short Term Memory (LSTM) method. To test the proposed technique, the product dataset “ X ” was used with performance parameters of Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE). The results of the study, through evaluating the model performance of data training on data testing
3D Magnetic Resonance Image Denoising using Wasserstein Generative Adversarial Network with Residual Encoder-Decoders and Variant Loss Functions

—Magnetic resonance imaging (MRI) is frequently contaminated by noise during scanning and transmission of images, this deteriorates the accuracy of quantitative measures from the data and limits disease diagnosis by doctors or a computerized system. It is common for MRI to suffer from noise commonly referred to as Rician noise because the uncorrelated Gaussian noise is present in both the real and imaginary parts of a complex K-space image with zero mean and equal standard deviation, the distribution of noise in magnitude MR images typically tends to be related to Rician distributions. To remove the Rician noise from an MRI scan, deep learning has been used in the MRI denoising method to achieve improved performance. The proposed models were inspired by the Residual Encoder-Decoder Wasserstein Generative Adversarial Network (RED-WGAN). Specifically, the generator network is residual autoencoders combined with the convolution and deconvolution operations, and the discriminator network is convolutional layers. As a result of replacing Mean Square Error (MSE) in RED-WGAN with Structurally Sensitive Loss (SSL), RED-WGAN-SSL has been proposed to overcome the loss of important structural details that occurs because of over-smoothing the edges. The RED-WGAN-SSIM model has also been developed using Structural Similarity Loss SSIM. The proposed RED-WGAN-SSL and RED-WGAN-SSIM models are formed by using the SSL, SSIM, Visual Geometry Group (VGG), and adversarial loss that are incorporated to form the new loss function. They preserved the informative details and fine image better than RED-WGAN, so our models could effectively reduce noise and suppress artifacts.
Quantum cascade laser-based photoacoustic sensor for environmental pollution monitoring

— We will report here on the design and realization of an optoacoustic sensor for trace gas detection. The sensor consists of a commercial quantum cascade laser and a resonant photoacoustic cell. Two different cell configurations have been investigated: a “standard” H-cell and an innovative T-cell. We will describe the results obtained in the detection of different gases, such as nitric oxide, which plays an important role in environmental pollution and in medical diagnostics, and formaldehyde, a gas of great interest for indoor and outdoor air pollution.